This page has only limited features, please log in for full access.
Insight in the acceptability of Intelligent Speed Adaptation (ISA) is an important requirement for the supported implementation of speed limiter technology. The aim of this study was to investigate the behavioural intention to accept ISA technology in a sample of 218 male minibus taxi drivers in Addis Ababa, Ethiopia. The hypothesized framework proposed attitude, effort expectancy, performance expectancy and social influence as determinants of the behavioural intention to accept ISA technology. It was found that positive evaluation towards using ISA technology and the degree of convenience associated with the use of this technology are likely to represent target goals for interventions aimed to promote the use of such technology among minibus taxi drivers. These results have also practical implications for the Ethiopian Transport Authority which is taking the initiative to large scale deployment of in-vehicle speed control technology in Ethiopia.
Wondwesen Girma Mamo; Veerle Ross; Yohannes Legesse Dadi; Nora Reinolsmann; Tom Brijs; Kris Brijs. Acceptability of intelligent speed adaptation technology in developing Countries: The case of Ethiopian minibus taxi drivers. Case Studies on Transport Policy 2021, 9, 1375 -1385.
AMA StyleWondwesen Girma Mamo, Veerle Ross, Yohannes Legesse Dadi, Nora Reinolsmann, Tom Brijs, Kris Brijs. Acceptability of intelligent speed adaptation technology in developing Countries: The case of Ethiopian minibus taxi drivers. Case Studies on Transport Policy. 2021; 9 (3):1375-1385.
Chicago/Turabian StyleWondwesen Girma Mamo; Veerle Ross; Yohannes Legesse Dadi; Nora Reinolsmann; Tom Brijs; Kris Brijs. 2021. "Acceptability of intelligent speed adaptation technology in developing Countries: The case of Ethiopian minibus taxi drivers." Case Studies on Transport Policy 9, no. 3: 1375-1385.
Stated preference methods such as discrete choice experiments (DCEs) are used to elicit respondents' preferences and willingness to pay (WTP) for environmental goods or services whose value cannot be observed in actual markets. However, DCEs may deliver biased estimates because of respondents' unfamiliarity with the hypothetical scenarios to be valued. There is evidence that visualization techniques can enhance respondents' cognitive ability and improve the evaluation and interpretation of complex information. We leverage recent technological advances to create an immersive virtual reality environment delivered to respondents via a head-mounted display in order to conduct a split split-sample experiment on the value of urban greenery (i.e., trees, bio-retention planters) using three different presentation formats (text only; video; virtual reality). We find that (i) respondent certainty can be increased by employing more immersive visualization techniques such as virtual reality, and that (ii) the presentation format has a significant impact on WTP estimates for different types of urban green and can change respondents’ rank order for the urban green options considered in the study.
Ilias Mokas; Sebastien Lizin; Tom Brijs; Nele Witters; Robert Malina. Can immersive virtual reality increase respondents’ certainty in discrete choice experiments? A comparison with traditional presentation formats. Journal of Environmental Economics and Management 2021, 109, 102509 .
AMA StyleIlias Mokas, Sebastien Lizin, Tom Brijs, Nele Witters, Robert Malina. Can immersive virtual reality increase respondents’ certainty in discrete choice experiments? A comparison with traditional presentation formats. Journal of Environmental Economics and Management. 2021; 109 ():102509.
Chicago/Turabian StyleIlias Mokas; Sebastien Lizin; Tom Brijs; Nele Witters; Robert Malina. 2021. "Can immersive virtual reality increase respondents’ certainty in discrete choice experiments? A comparison with traditional presentation formats." Journal of Environmental Economics and Management 109, no. : 102509.
Work zones are established to provide a safe environment for all road users and road workers. However, based on the statistics, they can be considered as crash prone zones due to changes in the road alignments and the posted speed limits. In this driving simulator study, we aimed at investigating the safety impacts of a newly proposed system composed of graphical and animation-based variable message signs (VMSs) in the state of Qatar. The proposed VMS condition was compared with a control condition that was designed following the Qatar Work Zone Traffic Management Guide. A total of seventy subjects were invited to participate in the experiment voluntarily. Study results showed that in the VMS condition, drivers reduced their traveling speeds in advanced compared to the control condition. Drivers’ traveling speed in the VMS condition was significantly reduced by 6.3 and 11.1 km/h on the leftmost and the second leftmost lanes, respectively. Next, the results uncovered that the proposed system motivated drivers to initiate early lane changing maneuvers, i.e., 150 m earlier than the control condition. Finally, the VMS condition was effective in stimulating drivers to keep larger headways with a merging vehicle. In sum, the proposed VMS system outperformed the control condition in terms of speed reduction, early merging, and higher headways between the through and the merging vehicle.
Mustafa Almallah; Qinaat Hussain; Wael K.M. Alhajyaseen; Ali Pirdavani; Kris Brijs; Charitha Dias; Tom Brijs. Improved traffic safety at work zones through animation-based variable message signs. Accident Analysis & Prevention 2021, 159, 106284 .
AMA StyleMustafa Almallah, Qinaat Hussain, Wael K.M. Alhajyaseen, Ali Pirdavani, Kris Brijs, Charitha Dias, Tom Brijs. Improved traffic safety at work zones through animation-based variable message signs. Accident Analysis & Prevention. 2021; 159 ():106284.
Chicago/Turabian StyleMustafa Almallah; Qinaat Hussain; Wael K.M. Alhajyaseen; Ali Pirdavani; Kris Brijs; Charitha Dias; Tom Brijs. 2021. "Improved traffic safety at work zones through animation-based variable message signs." Accident Analysis & Prevention 159, no. : 106284.
Hanoi City is a typical motorcycle dominant city in Vietnam with a modal share of motorcycles of more than 80% and motorcycle riders involved in more than 70% of road fatalities. It is important to understand the major causes of motorcycle crash severity to suggest effective countermeasures. There have been studies elsewhere examining factors related to small-displacement motorcycle crash severity, but work in Vietnam is scarce. This study uses ordinal logistic regression to investigate contributory factors to the odds of severe crashes involving motorcycle riders. A distinction is made between crashes where motorcyclists are involved as the second party (i.e., as victims of the crash) on the one hand and as the first party (i.e., as the person responsible for causing the crash) on the other hand. Results show that age and gender of the first party person, size of the vehicle collided with, and presence of a pillion passenger significantly contribute to the severity of crashes in which motorcyclists are involved as the second party. Significant factors to the severity of crashes in which motorcyclists are involved as the first party are age, time of the crash, road class, size of the second party vehicle, pillion passenger presence, and riding speed. The findings contribute to a deeper understanding of fatal crashes with small-displacement motorcycles in a developing city. This study helps to identify countermeasures to improve road safety of small-displacement motorcycle riders.
Dinh Vinh Man Nguyen; Anh Tuan Vu; Evelien Polders; Veerle Ross; Tom Brijs; Geert Wets; Kris Brijs. Modeling the injury severity of small-displacement motorcycle crashes in Hanoi City, Vietnam. Safety Science 2021, 142, 105371 .
AMA StyleDinh Vinh Man Nguyen, Anh Tuan Vu, Evelien Polders, Veerle Ross, Tom Brijs, Geert Wets, Kris Brijs. Modeling the injury severity of small-displacement motorcycle crashes in Hanoi City, Vietnam. Safety Science. 2021; 142 ():105371.
Chicago/Turabian StyleDinh Vinh Man Nguyen; Anh Tuan Vu; Evelien Polders; Veerle Ross; Tom Brijs; Geert Wets; Kris Brijs. 2021. "Modeling the injury severity of small-displacement motorcycle crashes in Hanoi City, Vietnam." Safety Science 142, no. : 105371.
Over the recent years, considerable attention has been drawn to intelligent driving technologies and particularly to automated vehicles (AVs). The deployment of AVs would provide the opportunity to have more control over the dynamics of the vehicle, including its lateral movement, which can affect the pavement's long-term rutting performance. The controlled lateral movement of the AVs may also imply a reduced lane width. This paper evaluates the impacts of dedicating a reduced lane width to AVs on pavement rutting performance, considering two lateral movement modes for AVs; zero-wander and uniform-wander. A finite element model was developed using ABAQUS software. The rutting simulation results of this study showed that the abrupt changes in the loading schemes of the zero- and uniform-wander modes cause considerable accumulated rutting in the edges of the loading areas. This is significantly greater than the total rutting induced by the human-driven vehicles (HDVs) following the normal-wander mode, which causes a compensated rutting behaviour by a gradual increase in loading time. Furthermore, the comparison between rutting depths in different lane widths reveals that when dedicating the narrower lane for AVs with a uniform-wander distribution, the pavement's total rutting depth would remarkably increase compared to the wider lanes.
Ali Yeganeh; Bram Vandoren; Ali Pirdavani. Impacts of load distribution and lane width on pavement rutting performance for automated vehicles. International Journal of Pavement Engineering 2021, 1 -11.
AMA StyleAli Yeganeh, Bram Vandoren, Ali Pirdavani. Impacts of load distribution and lane width on pavement rutting performance for automated vehicles. International Journal of Pavement Engineering. 2021; ():1-11.
Chicago/Turabian StyleAli Yeganeh; Bram Vandoren; Ali Pirdavani. 2021. "Impacts of load distribution and lane width on pavement rutting performance for automated vehicles." International Journal of Pavement Engineering , no. : 1-11.
Pedestrians being the most vulnerable road users account for a large proportion of injuries and fatalities from road traffic crashes. Pedestrians are involved in around one-third of the whole fatalities coming from the road traffic crashes in the state of Qatar. In areas with uncontrolled midblock crosswalks, it is very crucial to improve drivers’ alertness and yielding behavior. The objective of this driving simulator study is to investigate the impact of pedestrian detection strategies and pavement markings on driving behavior at high-speed uncontrolled crosswalks. To this end, an untreated condition (i.e. Control) was compared with three treatment conditions. The three treated conditions included two detection strategies, i.e., advance variable message sign (VMS) and LED lights, and road markings with pedestrian encircled. Each condition was tested with a yield/stop controlled marked crosswalk for two situations, i.e. with vs. without a pedestrian present. The experiment was conducted using the driving simulator at Qatar University. In total, 67 volunteers possessing a valid Qatari driving license participated in the study. Different analyses were conducted on vehicle-pedestrian interactions, driving speed, variations in acceleration/deceleration and lateral position. The results showed that both the LED and VMS conditions were helpful in increasing yielding rates up to 98.4 % and reducing the vehicle-pedestrian conflicts significantly. Furthermore, both treatments were effective in motivating drivers to reduce vehicle speed in advance. Considering the findings of this study, we recommend LED and VMS conditions as potentially effective solutions to improve safety at yield/stop controlled crosswalks.
Qinaat Hussain; Wael K.M. Alhajyaseen; Ali Pirdavani; Kris Brijs; Khaled Shaaban; Tom Brijs. Do detection-based warning strategies improve vehicle yielding behavior at uncontrolled midblock crosswalks? Accident Analysis & Prevention 2021, 157, 106166 .
AMA StyleQinaat Hussain, Wael K.M. Alhajyaseen, Ali Pirdavani, Kris Brijs, Khaled Shaaban, Tom Brijs. Do detection-based warning strategies improve vehicle yielding behavior at uncontrolled midblock crosswalks? Accident Analysis & Prevention. 2021; 157 ():106166.
Chicago/Turabian StyleQinaat Hussain; Wael K.M. Alhajyaseen; Ali Pirdavani; Kris Brijs; Khaled Shaaban; Tom Brijs. 2021. "Do detection-based warning strategies improve vehicle yielding behavior at uncontrolled midblock crosswalks?" Accident Analysis & Prevention 157, no. : 106166.
Statistics show that horizontal curves, especially those of radii less than 200 m, present an increased road accident risk mainly due to inappropriate speed and failure to maintain proper lateral position. This simulator study aims to analyse how two low-cost road marking measures (red median and horizontal warning signs), alone or combined with a vertical warning sign, affect driver behaviour (driving speed, lateral movement, acceleration/deceleration) before and throughout dangerous horizontal curves on a two-way rural road. With GIS-supported mapping of traffic accidents, we identified the most dangerous curves on the main rural road in Croatia and replicated them on the driving simulator. Based on the driving runs of 43 participants, the study concluded that both measures, used either alone or combined with a vertical warning sign, significantly reduced the speed compared to the control condition (vertical warning sign alone). Additionally, the use of a red median prompted the lateral movement of the vehicle closer to the edge line. The paper also defines the potential use of the measures for dealing with specific types of curve-related accidents.
Dario Babić; Tom Brijs. Low-cost road marking measures for increasing safety in horizontal curves: A driving simulator study. Accident Analysis & Prevention 2021, 153, 106013 .
AMA StyleDario Babić, Tom Brijs. Low-cost road marking measures for increasing safety in horizontal curves: A driving simulator study. Accident Analysis & Prevention. 2021; 153 ():106013.
Chicago/Turabian StyleDario Babić; Tom Brijs. 2021. "Low-cost road marking measures for increasing safety in horizontal curves: A driving simulator study." Accident Analysis & Prevention 153, no. : 106013.
Driving anger and aggressive driving are main contributors to crashes, especially among young males. Trait driving anger is context-specific and unique from other forms of anger. It is necessary to understand the mechanisms of trait driving anger to develop targeted interventions. Although literature conceptually distinguished reactive and proactive aggression, this distinction is uncommon in driving research. Similar, cognitive biases related to driving anger, measured by a combination of explicit and implicit measures, received little attention. This pilot study related explicit and implicit measures associated with reactive and proactive aggression to trait driving anger, while considering age. The sample consisted of 42 male drivers. The implicit measures included a self-aggression association (i.e., Single-Target Implicit Association Test) and an attentional aggression bias (i.e., Emotional Stroop Task). Reactive aggression related positively with trait driving anger. Moreover, a self-aggression association negatively related to trait driving anger. Finally, an interaction effect for age suggested that only in young male drivers, higher proactive aggression related to lower trait driving anger. These preliminary results motivate further attention to the combination of explicit and implicit measures related to reactive and proactive aggression in trait driving anger research.
Veerle Ross; Nora Reinolsmann; Jill Lobbestael; Chantal Timmermans; Tom Brijs; Wael Alhajyaseen; Kris Brijs. Relating Reactive and Proactive Aggression to Trait Driving Anger in Young and Adult Males: A Pilot Study Using Explicit and Implicit Measures. Sustainability 2021, 13, 1850 .
AMA StyleVeerle Ross, Nora Reinolsmann, Jill Lobbestael, Chantal Timmermans, Tom Brijs, Wael Alhajyaseen, Kris Brijs. Relating Reactive and Proactive Aggression to Trait Driving Anger in Young and Adult Males: A Pilot Study Using Explicit and Implicit Measures. Sustainability. 2021; 13 (4):1850.
Chicago/Turabian StyleVeerle Ross; Nora Reinolsmann; Jill Lobbestael; Chantal Timmermans; Tom Brijs; Wael Alhajyaseen; Kris Brijs. 2021. "Relating Reactive and Proactive Aggression to Trait Driving Anger in Young and Adult Males: A Pilot Study Using Explicit and Implicit Measures." Sustainability 13, no. 4: 1850.
Intersections are established dangerous entities of a highway system due to the challenging and unsafe roadway environment they are characterized for drivers and other road users. In efforts to improve safety, an enormous interest has been shown in developing statistical models for intersection crash prediction and explanation. The selection of an adequate form of the statistical model is of great importance for the accurate estimation of crash frequency and the correct identification of crash contributing factors. Using a six-year crash data, road infrastructure and geometric design data, and traffic flow data of urban intersections, we applied three different functional forms of negative binomial models (i.e., NB-1, NB-2, NB-P) and a generalized Poisson (GP) model to develop safety performance functions (SPF) by crash severity for signalized and unsignalized intersections. This paper presents the relationships found between the explanatory variables and the expected crash frequency. It reports the comparison of different models for total, injury & fatal, and property damage only crashes in order to obtain ones with the maximum estimation accuracy. The comparison of models was based on the goodness of fit and the prediction performance measures. The fitted models showed that the traffic flow and several variables related to road infrastructure and geometric design significantly influence the intersection crash frequency. Further, the goodness of fit and the prediction performance measures revealed that the NB-P model outperformed other models in most crash severity levels for signalized intersections. For the unsignalized intersections, the GP model was the best performing model. When only the NB models were compared, the functional form NB-P performed better than the traditional NB-1 and, more specifically, the NB-2 models. In conclusion, our findings suggest a potential improvement in the estimation accuracy of the SPFs for urban intersections by applying the NB-P and GP models.
Muhammad Wisal Khattak; Ali Pirdavani; Pieter De Winne; Tom Brijs; Hans De Backer. Estimation of safety performance functions for urban intersections using various functional forms of the negative binomial regression model and a generalized Poisson regression model. Accident Analysis & Prevention 2021, 151, 105964 .
AMA StyleMuhammad Wisal Khattak, Ali Pirdavani, Pieter De Winne, Tom Brijs, Hans De Backer. Estimation of safety performance functions for urban intersections using various functional forms of the negative binomial regression model and a generalized Poisson regression model. Accident Analysis & Prevention. 2021; 151 ():105964.
Chicago/Turabian StyleMuhammad Wisal Khattak; Ali Pirdavani; Pieter De Winne; Tom Brijs; Hans De Backer. 2021. "Estimation of safety performance functions for urban intersections using various functional forms of the negative binomial regression model and a generalized Poisson regression model." Accident Analysis & Prevention 151, no. : 105964.
Transition zones are a road section where posted speed drops from higher to lower limits. Due to the sudden changes in posted speed limits and road environment, drivers usually do not adapt to the posted speed limits and underestimate their traveling speed. Previous studies have highlighted that crash rates are usually higher in these sections. This study aims at improving the safety at transition zones by introducing perceptual measures that are tested using a driving simulator. The proposed measures are speed limit pavement markings with a gradual increase of brightness and/or size that were placed at transition zones in simulation scenarios replicating the real-world environment of the Doha Expressway in Qatar. These innovative measures aim to produce the impression of increased speed that could stimulate drivers to better adapt speed limits. The driving behavior of 81 drivers possessing a valid Qatari driving license was recorded with a driving simulator interfaced with STISIM Drive® 3. Results showed that pavement markings combining size and brightness manipulations were the most effective treatment, keeping drivers' traveling speed significantly below the traveling speed recorded in the untreated control condition. In this regard, the maximum mean speed reductions of 5.3 km/h and 4.6 km/h were observed for this treatment at the first transition (120 to 100 km/h) and second transition (100 to 80 km/h) zones, respectively. Regarding the variations in drivers' lateral position, the results showed that the proposed pavement markings did not negatively influence drivers' lateral control on the road as the maximum observed standard deviation of lateral position was around 0.065 m. This study shows that the proposed pavement markings are recommended for improving the speed adaptation of drivers in the transition zones.
Qinaat Hussain; Wael K.M. Alhajyaseen; Nora Reinolsmann; Kris Brijs; Ali Pirdavani; Geert Wets; Tom Brijs. Optical pavement treatments and their impact on speed and lateral position at transition zones: A driving simulator study. Accident Analysis & Prevention 2020, 150, 105916 .
AMA StyleQinaat Hussain, Wael K.M. Alhajyaseen, Nora Reinolsmann, Kris Brijs, Ali Pirdavani, Geert Wets, Tom Brijs. Optical pavement treatments and their impact on speed and lateral position at transition zones: A driving simulator study. Accident Analysis & Prevention. 2020; 150 ():105916.
Chicago/Turabian StyleQinaat Hussain; Wael K.M. Alhajyaseen; Nora Reinolsmann; Kris Brijs; Ali Pirdavani; Geert Wets; Tom Brijs. 2020. "Optical pavement treatments and their impact on speed and lateral position at transition zones: A driving simulator study." Accident Analysis & Prevention 150, no. : 105916.
To enable older drivers to maintain mobility without endangering public safety, it is necessary to develop more effective means of assessing their fitness-to-drive as alternatives to an on-road driving test. In this study, a functional ability test, simulated driving test, and on-road driving test were carried out for 136 older drivers. Influencing factors related to fitness-to-drive were selected based on the correlation between the outcome measure of each test and the pass/fail outcome of the on-road driving test. Four potential alternatives combining different tests were considered and three modeling techniques were compared when constructing the fitness-to-drive assessment model for the elderly. As a result, 92 participants completed all of the tests, of which 61 passed the on-road driving test and the remaining 31 failed. A total of seven influencing factors from all types of tests were selected. The best model was trained by the technique of gradient boosted machine using all of the seven factors, generating the highest accuracy of 92.8%, with sensitivity of 0.94 and specificity of 0.90. The proposed fitness-to-drive assessment method is considered an effective alternative to the on-road driving test, and the results offer a valuable reference for those unfit‐to‐drive older drivers to either adjust their driving behavior or cease driving.
Yongjun Shen; Onaira Zahoor; Xu Tan; Muhammad Usama; Tom Brijs. Assessing Fitness-to-Drive among Older Drivers: A Comparative Analysis of Potential Alternatives to on-Road Driving Test. International Journal of Environmental Research and Public Health 2020, 17, 8886 .
AMA StyleYongjun Shen, Onaira Zahoor, Xu Tan, Muhammad Usama, Tom Brijs. Assessing Fitness-to-Drive among Older Drivers: A Comparative Analysis of Potential Alternatives to on-Road Driving Test. International Journal of Environmental Research and Public Health. 2020; 17 (23):8886.
Chicago/Turabian StyleYongjun Shen; Onaira Zahoor; Xu Tan; Muhammad Usama; Tom Brijs. 2020. "Assessing Fitness-to-Drive among Older Drivers: A Comparative Analysis of Potential Alternatives to on-Road Driving Test." International Journal of Environmental Research and Public Health 17, no. 23: 8886.
Inadequate and unnecessary stopping at signalized intersections reduces operational efficiency. The study aims at investigating the effect of a smart advanced warning system on driving behavior and the efficiency of signalized intersections. A green LED dynamic light (G-LED) system (combined system with countdown strategy) is developed and evaluated by means of a driving simulator experiment. The efficiency of the proposed system is compared with a default traffic signal condition with green-yellow-red order (i.e. control condition), and a flashing green (F-green) traffic signal (i.e. order: green-flashing green-yellow-red). Sixty-seven participants holding a valid driving license from Qatar participated in the study. All the participants drove a simulation run replicating the real-world environment of the Corniche road in Doha city (Qatar). Data such as vehicle lateral or longitudinal position, travel speed, acceleration or deceleration, and violation tickets were collected for each participant using the STISIM Drive® Software. Results from a binary logistic regression model showed that the probability of crossing during the change interval significantly increased for the G-LED condition compared to the control condition, while it decreased in the F-green condition. Furthermore, the experiment disclosed that the odds of crossing the intersection (without red-light running) for the proposed smart advanced warning system (G-LED) were 29.67 and 2.58 compared to the F-green and the control conditions, respectively. Furthermore, the time-space and speed analyses revealed that most of the drivers decelerated in the option zone and decided to stop at the intersection equipped with flashing green signal.
Qinaat Hussain; Wael Alhajyaseen; Kris Brijs; Ali Pirdavani; Tom Brijs. Improved Traffic Flow Efficiency During Yellow Interval at Signalized Intersections Using a Smart Countdown System. IEEE Transactions on Intelligent Transportation Systems 2020, PP, 1 -10.
AMA StyleQinaat Hussain, Wael Alhajyaseen, Kris Brijs, Ali Pirdavani, Tom Brijs. Improved Traffic Flow Efficiency During Yellow Interval at Signalized Intersections Using a Smart Countdown System. IEEE Transactions on Intelligent Transportation Systems. 2020; PP (99):1-10.
Chicago/Turabian StyleQinaat Hussain; Wael Alhajyaseen; Kris Brijs; Ali Pirdavani; Tom Brijs. 2020. "Improved Traffic Flow Efficiency During Yellow Interval at Signalized Intersections Using a Smart Countdown System." IEEE Transactions on Intelligent Transportation Systems PP, no. 99: 1-10.
Mobile phone use while riding is one of the five most common risky behaviors of motorcycle riders in Vietnam. This study investigated motorcyclist’s mobile phone use while riding intention and behavior based on the extended Theory of Planned Behavior (TPB) framework. Based on this framework, attitude, subjective norm, perceived behavioral control, habits, and health motivation underlying the rider’s mobile phone use while riding intentions and behavior were included in a questionnaire and captured by direct and indirect measurements. Small-displacement motorcycle riders (N = 291) completed the extended TPB based questionnaire. An exploratory factor analysis technique identified the selected factors (e.g., attitude, habit, etc.). Moreover, Structural Equation Modeling results showed moderate to good fits to the observed data. Therefore, the results supported the utilization of extended TPB framework in identifying factors of mobile phone use while riding intention and behavior. Specifically, negative attitude, perceived behavioral control, and mobile phone use while riding habit related to the intention to use a mobile phone while riding of small-displacement motorcyclists. Meanwhile, habit and behavioral intention related to the behavior to use a mobile phone while riding of small-displacement motorcycle riders. Especially, the correlation between behavioral intention and self-reported behavior was very strong. This finding embraced previous research indicating that intention was a major motivational component of behavior. Based on the results, safety intervention implications for small-displacement motorcycle riders were discussed.
Dinh Vinh Man Nguyen; Veerle Ross; Anh Tuan Vu; Tom Brijs; Geert Wets; Kris Brijs. Exploring psychological factors of mobile phone use while riding among motorcyclists in Vietnam. Transportation Research Part F: Traffic Psychology and Behaviour 2020, 73, 292 -306.
AMA StyleDinh Vinh Man Nguyen, Veerle Ross, Anh Tuan Vu, Tom Brijs, Geert Wets, Kris Brijs. Exploring psychological factors of mobile phone use while riding among motorcyclists in Vietnam. Transportation Research Part F: Traffic Psychology and Behaviour. 2020; 73 ():292-306.
Chicago/Turabian StyleDinh Vinh Man Nguyen; Veerle Ross; Anh Tuan Vu; Tom Brijs; Geert Wets; Kris Brijs. 2020. "Exploring psychological factors of mobile phone use while riding among motorcyclists in Vietnam." Transportation Research Part F: Traffic Psychology and Behaviour 73, no. : 292-306.
Chantal Timmermans; Wael Alhajyaseen; Abdrabo Soliman; Tom Brijs; Khaled Bedair; Veerle Ross. Effect of ADHD traits in young drivers on self-reported deviant driving behaviours: An exploratory study in the Arab gulf region. Journal of Transport & Health 2020, 17, 1 .
AMA StyleChantal Timmermans, Wael Alhajyaseen, Abdrabo Soliman, Tom Brijs, Khaled Bedair, Veerle Ross. Effect of ADHD traits in young drivers on self-reported deviant driving behaviours: An exploratory study in the Arab gulf region. Journal of Transport & Health. 2020; 17 ():1.
Chicago/Turabian StyleChantal Timmermans; Wael Alhajyaseen; Abdrabo Soliman; Tom Brijs; Khaled Bedair; Veerle Ross. 2020. "Effect of ADHD traits in young drivers on self-reported deviant driving behaviours: An exploratory study in the Arab gulf region." Journal of Transport & Health 17, no. : 1.
Inter-national benchmarking of road safety, with the purpose of achieving continuous improvement by learning lessons from existing best practices, has currently been widely encouraged by most countries as an emerging management tool to improve the level of road safety. However, performing a successful road safety benchmarking practice is by no means easy. Challenges exist from ascertaining the benchmarking framework at the very beginning to making final policy decisions. In this study, based on the identification of leading road safety risk factors, a comprehensive set of hierarchically structured safety performance indicators was developed, some necessary data processing procedures were conducted, and the use of data envelopment analysis (DEA) for composite indicator (CI) construction was elaborated. An interval multiple layer DEA-based CI model was proposed to take both the hierarchical structure of the indicators and the data uncertainty into account, and was used to benchmark road safety performance for a set of European countries. Based on the model output, best-performing and underperforming countries were distinguished and all the countries were further ranked by computing their cross-index score. Moreover, by taking the characteristics of each country in the data set into account, country-specific benchmarks for those underperforming countries were identified, and useful insight in the areas of underperformance in each country was gained. Meanwhile, by summarizing the risk aspects that need urgent policy action for all these countries, some specific road safety enhancing recommendations for this region as a whole were formulated.
Yongjun Shen; Elke Hermans; Qiong Bao; Tom Brijs; Geert Wets. Towards better road safety management: Lessons learned from inter-national benchmarking. Accident Analysis & Prevention 2020, 138, 105484 .
AMA StyleYongjun Shen, Elke Hermans, Qiong Bao, Tom Brijs, Geert Wets. Towards better road safety management: Lessons learned from inter-national benchmarking. Accident Analysis & Prevention. 2020; 138 ():105484.
Chicago/Turabian StyleYongjun Shen; Elke Hermans; Qiong Bao; Tom Brijs; Geert Wets. 2020. "Towards better road safety management: Lessons learned from inter-national benchmarking." Accident Analysis & Prevention 138, no. : 105484.
Road geometric design standards provide various possibilities for merging freeways with a decreasing number of lanes. In this study, an alternative design (i.e. taper design) is investigated and compared with the standard design under three different heavy vehicle compositions to understand driving performance in relation to the flow of traffic. Taper design is not always the first choice in the road geometric design guidelines and the designer has to provide arguments for selecting this design. Taper design and its comparison with other alternatives are also not well explored in literature. In this study, a driving simulator was used to examine and compare the performance of these two designs under different heavy vehicle compositions. Qualitative results showed that the perceived safety was better for the standard design compared to the taper design. Mean speed, acceleration, standard deviation of acceleration/deceleration, and cumulative lane changes were chosen as behavioural parameters to compare these two designs using MANOVA and repeated measures ANOVA. Results revealed that drivers’ discomfort in performing merging manoeuvres was greatest in case of a taper design and when the percentage of heavy vehicles was moderate (15%). Overall, the standard design was found to be more favourable. Practitioner Summary: Driving behaviour at merging freeways with a decreasing number of lanes is underexplored. We analysed safety in driving behaviour considering heavy vehicles for taper and standard designs provided in Dutch guidelines using a driving simulator. The standard design was found to be safer and the presence of moderate heavy vehicles caused more disturbances in driving behaviour.
Hammad Hussain Awan; Ali Pirdavani; Muhammad Adnan; Ansar-Ul-Haque Yasar; Geert Wets; Tom Brijs. Standard freeway merge designs support safer driver behaviour compared to taper designs: a driving simulator study. Ergonomics 2020, 63, 407 -420.
AMA StyleHammad Hussain Awan, Ali Pirdavani, Muhammad Adnan, Ansar-Ul-Haque Yasar, Geert Wets, Tom Brijs. Standard freeway merge designs support safer driver behaviour compared to taper designs: a driving simulator study. Ergonomics. 2020; 63 (4):407-420.
Chicago/Turabian StyleHammad Hussain Awan; Ali Pirdavani; Muhammad Adnan; Ansar-Ul-Haque Yasar; Geert Wets; Tom Brijs. 2020. "Standard freeway merge designs support safer driver behaviour compared to taper designs: a driving simulator study." Ergonomics 63, no. 4: 407-420.
The change interval, which includes the yellow and all-red times, plays a crucial role in the safety and operation of signalized intersections. During this interval, drivers not only need to decide to stop or go but also have to interact with drivers both in front and behind, trying to avoid conflicting decisions. Red light running and inconsistent stopping behavior may increase the risk for angular and rear-end crashes. This study aims to investigate the effect of different innovative countermeasures on red light running prevention and safe stopping behavior at signalized intersections. Five different conditions were tested inviting sixty-seven volunteers with a valid driving license. The conditions include a default traffic signal setting (control condition), flashing green signal setting (F-green), red LED ground lights integrated with a traffic signal (R-LED), yellow interval countdown variable message sign (C-VMS), and red light running detection camera warning gantry (RW-gantry). Drivers in each condition were exposed to two different situations based on the distance from the stop line. In the first situation, drivers were located in the indecision zone while in the second situation they were located in the likely stopping zone. A series of logistic regression analyses and linear mixed models were conducted to investigate the overall safety effects of the different countermeasures. The probability of red light running (RLR) was significantly reduced for R-LED in both analyses (i.e. in the total sample, and in the sample of crossed vehicles). Moreover, a clearly inconsistent stopping behavior was observed for the flashing green condition. Furthermore, a unit increase in speed (kph) at the onset of yellow interval significantly increases the probability of RLR by 5.3 %. The study showed that R-LED was the most effective solution for improving red light running prevention and encouraging a consistent stopping behavior at the intersection. In conclusion, the R-LED and the RW-gantry treatments are recommended as effective tools to improve safety at signalized intersections.
Qinaat Hussain; Wael K.M. Alhajyaseen; Kris Brijs; Ali Pirdavani; Tom Brijs. Innovative countermeasures for red light running prevention at signalized intersections: A driving simulator study. Accident Analysis & Prevention 2019, 134, 105349 .
AMA StyleQinaat Hussain, Wael K.M. Alhajyaseen, Kris Brijs, Ali Pirdavani, Tom Brijs. Innovative countermeasures for red light running prevention at signalized intersections: A driving simulator study. Accident Analysis & Prevention. 2019; 134 ():105349.
Chicago/Turabian StyleQinaat Hussain; Wael K.M. Alhajyaseen; Kris Brijs; Ali Pirdavani; Tom Brijs. 2019. "Innovative countermeasures for red light running prevention at signalized intersections: A driving simulator study." Accident Analysis & Prevention 134, no. : 105349.
Automated vehicles (AVs) are expected to assist in decreasing road traffic fatalities, particularly among passenger cars. However, until now limited research has been conducted on how they will impact the safety of vulnerable road users (VRUs) (i.e., cyclists and pedestrians). Therefore, there is a clear need to start taking into account the interactions between AVs and VRUs as an integrated element of the transport network, especially in urban areas where they are dominant. The objective of this study is to verify whether the anticipated implementation of AVs can actually improve cyclists’ safety. For this purpose, the microscopic traffic flow simulation software PTV Vissim combined with the surrogate safety assessment model (SSAM) were utilized. The road network used for this analysis was generated based on a real study case in a medium-sized city in Belgium, where narrow streets in the city center are shared on many occasions between vehicles and cyclists. The findings of the analysis show a notable reduction in the total number of conflicts between cars, but also between cars and cyclists, compared to the current situation, assuming a 100% market penetration scenario for AVs. Moreover, the severity level of conflicts also decreased as a result of the lack of human-driven vehicles in the traffic streams.
Pavlos Tafidis; Ali Pirdavani; Tom Brijs; Haneen Farah. Can Automated Vehicles Improve Cyclist Safety in Urban Areas? Safety 2019, 5, 57 .
AMA StylePavlos Tafidis, Ali Pirdavani, Tom Brijs, Haneen Farah. Can Automated Vehicles Improve Cyclist Safety in Urban Areas? Safety. 2019; 5 (3):57.
Chicago/Turabian StylePavlos Tafidis; Ali Pirdavani; Tom Brijs; Haneen Farah. 2019. "Can Automated Vehicles Improve Cyclist Safety in Urban Areas?" Safety 5, no. 3: 57.
Pedestrians struck in motorised vehicle crashes constitute the largest group of traffic fatalities worldwide. Excessive speed is the primary contributory factor in such crashes. The relationship between estimated impact speed and the risk of a pedestrian fatality has generated much debate concerning what should be a safe maximum speed limit for vehicles in high pedestrian active areas. Four electronic databases (MEDLINE, EMBASE, COMPENDEX, and SCOPUS) were searched to identify relevant studies. Records were assessed, and data retrieved independently by two authors in adherence with the PRISMA statement. The included studies reported data on pedestrian fatalities from motorised vehicle crashes with known estimated impact speed. Summary odds ratios (OR) were obtained using meta-regression models. Time trends and publication bias were assessed. Fifty-five studies were identified for a full-text assessment, 27 met inclusion criteria, and 20 were included in a meta-analysis. The analyses found that when the estimated impact speed increases by 1 km/h, the odds of a pedestrian fatality increases on average by 11% (OR = 1.11, 95% CI: 1.10–1.12). The risk of a fatality reaches 5% at an estimated impact speed of 30 km/h, 10% at 37 km/h, 50% at 59 km/h, 75% at 69 km/h and 90% at 80 km/h. Evidence of publication bias and time trend bias among included studies were found. The results of the meta-analysis support setting speed limits of 30–40 km/h for high pedestrian active areas. These speed limits are commonly used by best practice countries that have the lowest road fatality rates and that practice a Safe System Approach to road safety.
Qinaat Hussain; Hanqin Feng; Raphael Grzebieta; Tom Brijs; Jake Olivier. The relationship between impact speed and the probability of pedestrian fatality during a vehicle-pedestrian crash: A systematic review and meta-analysis. Accident Analysis & Prevention 2019, 129, 241 -249.
AMA StyleQinaat Hussain, Hanqin Feng, Raphael Grzebieta, Tom Brijs, Jake Olivier. The relationship between impact speed and the probability of pedestrian fatality during a vehicle-pedestrian crash: A systematic review and meta-analysis. Accident Analysis & Prevention. 2019; 129 ():241-249.
Chicago/Turabian StyleQinaat Hussain; Hanqin Feng; Raphael Grzebieta; Tom Brijs; Jake Olivier. 2019. "The relationship between impact speed and the probability of pedestrian fatality during a vehicle-pedestrian crash: A systematic review and meta-analysis." Accident Analysis & Prevention 129, no. : 241-249.
An efficient decision-making process is one of the major necessities of road safety performance analysis for human safety and budget allocation procedure. During the road safety analysis procedure, data envelopment analysis (DEA) supports policymakers in differentiating between risky and safe segments of a homogeneous highway. Cross-risk, an extension of the DEA models, provides more information about risky segments for ranking purpose. After identification of risky segments, the next goal is to identify the factors that are major contributors in making that segment risky. This research proposes a methodology to analyze road safety performance by using a combination of DEA with the decision tree (DT) technique. The proposed methodology not only provides a facility to identify problematic road segments with the help of DEA but also identifies contributing factors with the help of DT. Practical applications: The applicability of the proposed model will help policymakers to identify the major factors contributing to road accidents and analysis of safety performance of road infrastructure to allocate the budget during the decision-making process.
Syyed Adnan Raheel Shah; Naveed Ahmad; Yongjun Shen; Mumtaz Ahmed Kamal; Muhammad Aamir Basheer; Tom Brijs. Relationship between road traffic features and accidents: An application of two-stage decision-making approach for transportation engineers. Journal of Safety Research 2019, 69, 201 -215.
AMA StyleSyyed Adnan Raheel Shah, Naveed Ahmad, Yongjun Shen, Mumtaz Ahmed Kamal, Muhammad Aamir Basheer, Tom Brijs. Relationship between road traffic features and accidents: An application of two-stage decision-making approach for transportation engineers. Journal of Safety Research. 2019; 69 ():201-215.
Chicago/Turabian StyleSyyed Adnan Raheel Shah; Naveed Ahmad; Yongjun Shen; Mumtaz Ahmed Kamal; Muhammad Aamir Basheer; Tom Brijs. 2019. "Relationship between road traffic features and accidents: An application of two-stage decision-making approach for transportation engineers." Journal of Safety Research 69, no. : 201-215.