This page has only limited features, please log in for full access.
Maria Rosaria De Blasiis is a full professor of roads, railways, and airports at the Department of Engineering of Roma Tre University. Professor De Blasiis graduated in Civil Engineering - Transportation Section at the University of Roma La Sapienza and completed her PhD degree in "Designing and environmental evaluation of the road infrastructures". Her main objects of study concern the environmental aspects of infrastructures, the project management for safety, and road pavement technologies with special attention to the rehabilitation and maintenance. She has been studying the application of advanced methods and technologies for infrastructure analysis: neural network for accident prediction, quality standard of road assessment in virtual reality, pavement diagnosis with advanced technologies, and monitoring and managing using emerging sensing such as 2D imaging, 3D laser, and LiDAR. On these subjects, she has published many papers in sectorial journals and has held international conferences.
This study is part of a project aiming at analyzing driving behavior and the factors that most influence the generation of states of fatigue and distraction, which represent one of the main risk factors for road accidents. Both states are influenced by the possible condition of sleepiness linked to circadian rhythms. The global aim is to ascertain whether and how the mechanisms underlying the states of fatigue and distraction can be correlated with the variables describing the relationship between driver, road and vehicle. To this end, data related to driver physiological variables (EEG) and data on the scenario offered by the road, were recorded. Statistical differences between variables related to two different scenarios (Urban and Suburban) were calculated and also correlation between physiological and vehicles variables were enlightened. The first results are promising in terms of using physiological variables as risk indicators and improving the support offered by ITS systems.
Maria Rosaria De Blasiis; Carmen D’Anna; Silvia Conforto. Assessment of Drivers’ Risk Levels Using a Virtual Reality Simulator. Inventive Computation and Information Technologies 2021, 26 -33.
AMA StyleMaria Rosaria De Blasiis, Carmen D’Anna, Silvia Conforto. Assessment of Drivers’ Risk Levels Using a Virtual Reality Simulator. Inventive Computation and Information Technologies. 2021; ():26-33.
Chicago/Turabian StyleMaria Rosaria De Blasiis; Carmen D’Anna; Silvia Conforto. 2021. "Assessment of Drivers’ Risk Levels Using a Virtual Reality Simulator." Inventive Computation and Information Technologies , no. : 26-33.
The assessment of the road roughness conditions plays an important role to ensure the required performances related to road safety and ride comfort, furthermore providing a tool for pavement maintenance and rehabilitation planning. In this work, the authors compared the roughness index (International Roughness Index, IRI) derived from high speed inertial profilometer with two other roughness indices, one dynamic and one geometric computed on a digital elevation model (DEM) built by using mobile laser scanner (MLS) data. The MLS data were acquired on an extra-urban road section and interpolated on the nodes of a DEM with a curvilinear abscissa, coinciding with the global navigation satellite system (GNSS) track of the profilometer. To estimate the grid cell elevation, we applied two interpolation methods, ordinary kriging (OK) and inverse distance weighting (IDW), over the same data. The roughness values computed on the surface of the DEM showed a similar trend and a high correlation with those acquired by the profilometer, higher for the dynamic index than for the geometric index. The differences between the IRI values by profilometer and those computed on the DEM were small enough not to significantly affect the judgments on the analyzed sections. Moreover, the road sub-sections derived from profilometer measure that were classified as critical coincided with those derived from light detection and ranging (LiDAR) surveys. The proposed method can be used to perform a network-level analysis. In addition, to evaluate the effects of vibrations on human comfort, we input the DEMs into a dynamic simulation software in order to compute the vertical accelerations, as specified in the UNI ISO 2631 standard. The values obtained were in line and correlated with those inferred from the standard methodology for profilometer measures.
Maria Rosaria De Blasiis; Alessandro Di Benedetto; Margherita Fiani; Marco Garozzo. Assessing of the Road Pavement Roughness by Means of LiDAR Technology. Coatings 2020, 11, 17 .
AMA StyleMaria Rosaria De Blasiis, Alessandro Di Benedetto, Margherita Fiani, Marco Garozzo. Assessing of the Road Pavement Roughness by Means of LiDAR Technology. Coatings. 2020; 11 (1):17.
Chicago/Turabian StyleMaria Rosaria De Blasiis; Alessandro Di Benedetto; Margherita Fiani; Marco Garozzo. 2020. "Assessing of the Road Pavement Roughness by Means of LiDAR Technology." Coatings 11, no. 1: 17.
Three different road environments (urban, suburban and rural) were implemented in a fixed – base driving simulator. Forty – five participants drove the three road environments in which two zebra crossing with a pedestrian that crosses the road were implemented: in one case, the driver was helped by the Pedestrian Collision Warning System (PCWS) which provided a combined visual-auditive warning, while, in the other pedestrian crossing, the warning system was absent. The recorded interaction conditions between driver and pedestrian during the tests were classified in three groups according to Time To Zebra arrive \( \left( {{\text{TTZ}}_{\text{arr}}^{*} } \right) \). Results showed positive effects of PCWS that induced the driver to reach lower speeds in presence of that system, improving the general risk conditions at which the pedestrian is exposed during the interaction with drivers at crossroads.
Francesco Bella; Chiara Ferrante; Manuel Silvestri; Maria Rosaria De Blasiis. Effects on Driver’s Yielding Behavior of a Pedestrian Collision Warning System in Different Road Environments. Advances in Intelligent Systems and Computing 2020, 307 -314.
AMA StyleFrancesco Bella, Chiara Ferrante, Manuel Silvestri, Maria Rosaria De Blasiis. Effects on Driver’s Yielding Behavior of a Pedestrian Collision Warning System in Different Road Environments. Advances in Intelligent Systems and Computing. 2020; ():307-314.
Chicago/Turabian StyleFrancesco Bella; Chiara Ferrante; Manuel Silvestri; Maria Rosaria De Blasiis. 2020. "Effects on Driver’s Yielding Behavior of a Pedestrian Collision Warning System in Different Road Environments." Advances in Intelligent Systems and Computing , no. : 307-314.
The surface conditions of road pavements, including the occurrence and severity of distresses present on the surface, are an important indicator of pavement performance. Periodic monitoring and condition assessment is an essential requirement for the safety of vehicles moving on that road and the wellbeing of people. The traditional characterization of the different types of distress often involves complex activities, sometimes inefficient and risky, as they interfere with road traffic. The mobile laser systems (MLS) are now widely used to acquire detailed information about the road surface in terms of a three-dimensional point cloud. Despite its increasing use, there are still no standards for the acquisition and processing of the data collected. The aim of our work was to develop a procedure for processing the data acquired by MLS, in order to identify the localized degradations that mostly affect safety. We have studied the data flow and implemented several processing algorithms to identify and quantify a few types of distresses, namely potholes and swells/shoves, starting from very dense point clouds. We have implemented data processing in four steps: (i) editing of the point cloud to extract only the points belonging to the road surface, (ii) determination of the road roughness as deviation in height of every single point of the cloud with respect to the modeled road surface, (iii) segmentation of the distress (iv) computation of the main geometric parameters of the distress in order to classify it by severity levels. The results obtained by the proposed methodology are promising. The procedures implemented have made it possible to correctly segmented and identify the types of distress to be analyzed, in accordance with the on-site inspections. The tests carried out have shown that the choice of the values of some parameters to give as input to the software is not trivial: the choice of some of them is based on considerations related to the nature of the data, for others, it derives from the distress to be segmented. Due to the different possible configurations of the various distresses it is better to choose these parameters according to the boundary conditions and not to impose default values. The test involved a 100-m long urban road segment, the surface of which was measured with an MLS installed on a vehicle that traveled the road at 10 km/h.
Maria Rosaria De Blasiis; Alessandro Di Benedetto; Margherita Fiani. Mobile Laser Scanning Data for the Evaluation of Pavement Surface Distress. Remote Sensing 2020, 12, 942 .
AMA StyleMaria Rosaria De Blasiis, Alessandro Di Benedetto, Margherita Fiani. Mobile Laser Scanning Data for the Evaluation of Pavement Surface Distress. Remote Sensing. 2020; 12 (6):942.
Chicago/Turabian StyleMaria Rosaria De Blasiis; Alessandro Di Benedetto; Margherita Fiani. 2020. "Mobile Laser Scanning Data for the Evaluation of Pavement Surface Distress." Remote Sensing 12, no. 6: 942.
The evaluation of the road surface roughness condition plays an important role for the assessment of the pavement condition. To measure the international roughness index (IRI), new emerging surveying techniques can be used in addition to the profilometer. Mobile laser scanner (MLS) data were acquired on a stretch of road and interpolated on a grid to build a 3D model representing the whole road surface. To evaluate the roughness, both dynamic and geometric IRIs were computed from (digital elevation model) DEM-derived elevation attributes. The computed values showed a similar trend and a high correlation with that derived from the profilometer; the differences between the corresponding values were generally less than 5%. To evaluate the effects of vibrations on human comfort, the built DEM was integrated into a dynamic simulation software user interface to compute the effects on the drivers of the vertical accelerations, considered another indicator of the pavement performance.
Maria Rosaria De Blasiis; Alessandro Di Benedetto; Margherita Fiani; Marco Garozzo. Assessing the Effect of Pavement Distresses by Means of LiDAR Technology. Computing in Civil Engineering 2019 2019, 1 .
AMA StyleMaria Rosaria De Blasiis, Alessandro Di Benedetto, Margherita Fiani, Marco Garozzo. Assessing the Effect of Pavement Distresses by Means of LiDAR Technology. Computing in Civil Engineering 2019. 2019; ():1.
Chicago/Turabian StyleMaria Rosaria De Blasiis; Alessandro Di Benedetto; Margherita Fiani; Marco Garozzo. 2019. "Assessing the Effect of Pavement Distresses by Means of LiDAR Technology." Computing in Civil Engineering 2019 , no. : 1.
The issue of driving under the effect of alcohol is a matter of several studies in the field of road safety because today alcohol is widely diffused especially among very young people (age ranging between 18 and 25). Each year data provided by authorities are worrying, more than a third of the accidents registered in European countries are caused by alcohol. Italy is aligned with this trend; the ISS – National Institute of Health estimates that alcohol-related road accidents are equal to 30–35% of the total road accidents. Medical researches confirm that alcohol generates negative effects on driving, impairs the ability of perception, attention, processing and evaluation and it has negative effects on cognitive and motor skills. Therefore, the present research is developed in the field of a wider project research with the purpose to investigate and estimate the impact of alcohol on road safety to support awareness campaigns “Drink or Drive”. As demonstrated by findings of the previous study, alcohol has a significant impact on driving performances in terms of geometric, kinematic and dynamic measures. Trajectory, stopping and overtaking maneuvers were studied and a significant delay in reflexes, especially in stopping and overtaking maneuvers, that exposes drivers to high risk level, was calculated. In this research, the focus is on the drivers’ eye-movements that are recorded in the virtual reality driving experiment. To understand how much alcohol impairs attention and concentration in relation to the driving performances, these data are processed and two eye blinking measures (i.e. % blinking and blink rate) are analyzed A sample of 20 drivers were requested to drive the virtual reality-driving simulator situated in the LASS3 Virtual Reality Laboratory of University Research Centre for Road Safety. The route runs in extra-urban and urban areas, in order to study drivers’ behavior in different cases and subjecting drivers to different stimuli (i.e. pedestrian crossing, overtaking maneuver, sudden braking, etc.). The results are a comparison between the results of two conditions drunken and sober. Results show that alcohol affects attention and concentration increasing the absolute value of blinking and its rate. During the stopping and the overtaking maneuvers where driving measures show higher risk levels in drunkenness condition respect the to the sober one, eye measures show a reduction in blinking and frequency (in both conditions) on behalf of a more attention to the road.
Maria Rosaria De Blasiis; Chiara Ferrante; Valerio Veraldi. Driving Risk Assessment Under the Effect of Alcohol Through an Eye Tracking System in Virtual Reality. Advances in Intelligent Systems and Computing 2019, 329 -341.
AMA StyleMaria Rosaria De Blasiis, Chiara Ferrante, Valerio Veraldi. Driving Risk Assessment Under the Effect of Alcohol Through an Eye Tracking System in Virtual Reality. Advances in Intelligent Systems and Computing. 2019; ():329-341.
Chicago/Turabian StyleMaria Rosaria De Blasiis; Chiara Ferrante; Valerio Veraldi. 2019. "Driving Risk Assessment Under the Effect of Alcohol Through an Eye Tracking System in Virtual Reality." Advances in Intelligent Systems and Computing , no. : 329-341.
For decades, researchers have highlighted significant differences in gender and age groups in terms of driving behaviour. There are several studies, concerning gender, about the different perceptions of risk, traffic accident involvement and risky driving. The present research is a part of a research project about risk perception between genders that aims to estimate and quantify gender differences in terms of driving behaviour. In particular, this paper aims to focus on differences between male and female drivers in performing stopping maneuver in an urban environment. As confirmed by several medical studies, the gender difference involves cognitive and psychophysiological differences, which have a significant impact on the risk perception assessment. In the past, several researches have investigated gender differences on driving behaviour through questionnaire, statistical analysis and psychological driving task, but today technological advances have allowed the development of new tools to study the drivers’ behaviour. In fact, many studies in the field of road safety were recently conducted with the virtual reality driving simulator. In this instance, the analysis is carried out through the virtual reality driving simulator, situated in the LASS3 Virtual Reality Laboratory of University Research Centre for Road Safety, by implementing a simulated scenario of an urban condition with many sudden events (e.g. intersection, pedestrian crossing, merging vehicle into the traffic, etc.) that can lead to a stopping maneuver. The LASS3 virtual reality driving simulator collects all the kinematic and dynamic driving measures (e.g. speed, acceleration, position respect to the lane, pedal pressure, etc.) with a frequency of 0.1 s. A sample of 40 drivers were subjected to the driving test and the results of three indicators of risk perception are studied in order to confirm the results of the previous analysis. The selected indicators for the analysis are: time to collision (TTC), pressure on brake pedal (PB) and slip ratio (SR). As results show, male and female drivers have a different behaviour in performing stopping maneuver. Even if they have the same perception of the potential risk of the road environment (TTC values), they perform in a very different way the stopping maneuver: men more carefully than women (PB, SR).
Chiara Ferrante; Valerio Varladi; Maria Rosaria De Blasiis. Gender Differences Measured on Driving Performances in an Urban Simulated Environment. Advances in Intelligent Systems and Computing 2019, 144 -156.
AMA StyleChiara Ferrante, Valerio Varladi, Maria Rosaria De Blasiis. Gender Differences Measured on Driving Performances in an Urban Simulated Environment. Advances in Intelligent Systems and Computing. 2019; ():144-156.
Chicago/Turabian StyleChiara Ferrante; Valerio Varladi; Maria Rosaria De Blasiis. 2019. "Gender Differences Measured on Driving Performances in an Urban Simulated Environment." Advances in Intelligent Systems and Computing , no. : 144-156.
Safety performance functions (SPFs), or crash-prediction models, have played an important role in identifying the factors contributing to crashes, predicting crash counts and identifying hotspots. Since a great deal of time and effort is needed to estimate an SPF, previous studies have sought to determine the transferability of particular SPFs; that is, the extent to which they can be applied to data from other regions. Although many efforts have been made to examine micro-level SPF transferability, few studies have focused on macro-level SPF transferability. There has been little transferability analysis of macro-level SPFs in the international context, especially between western countries. This study therefore evaluates the transferability of SPFs for several states in the USA (Illinois, Florida and Colorado) and for Italy. The SPFs were developed using data from counties in the United States and provincias in Italy, and the results revealed multiple common significant variables between the two countries. Transferability indexes were then calculated between the SPFs. These showed that the Italy SPFs for total crashes and bicycle crashes were transferable to US data after calibration factors were applied, whereas the US SPFs for total and bicycle crashes, with the exception of the Colorado SPF, could not be transferred to the Italian data. On the other hand, none of the pedestrian SPFs developed was transferable to other countries. This paper provides insights into the applicability of macro-level SPFs between the USA and Italy, and shows a good potential for international SPF transferability. Nevertheless, further investigation is needed of SPF transferability between a wider range of countries.
Jaeyoung Lee; Mohamed Abdel-Aty; Maria Rosaria de Blasiis; Xuesong Wang; Ilaria Mattei. International transferability of macro-level safety performance functions: a case study of the United States and Italy. Transportation Safety and Environment 2019, 1, 68 -78.
AMA StyleJaeyoung Lee, Mohamed Abdel-Aty, Maria Rosaria de Blasiis, Xuesong Wang, Ilaria Mattei. International transferability of macro-level safety performance functions: a case study of the United States and Italy. Transportation Safety and Environment. 2019; 1 (1):68-78.
Chicago/Turabian StyleJaeyoung Lee; Mohamed Abdel-Aty; Maria Rosaria de Blasiis; Xuesong Wang; Ilaria Mattei. 2019. "International transferability of macro-level safety performance functions: a case study of the United States and Italy." Transportation Safety and Environment 1, no. 1: 68-78.
The road pavement conditions affect safety and comfort, traffic and travel times, vehicles operating cost, and emission levels. In order to optimize the road pavement management and guarantee satisfactory mobility conditions for all road users, the Pavement Management System (PMS) is an effective tool for the road manager. An effective PMS requires the availability of pavement distress data, the possibility of data maintenance and updating, in order to evaluate the best maintenance program. In the last decade, many researches have been focused on pavement distress detection, using a huge variety of technological solutions for both data collection and information extraction and qualification. This paper presents a literature review of data collection systems and processing approach aimed at the pavement condition evaluation. Both commercial solutions and research approaches have been included. The main goal is to draw a framework of the actual existing solutions, considering them from a different point of view in order to identify the most suitable for further research and technical improvement, while also considering the automated and semi-automated emerging technologies. An important attempt is to evaluate the aptness of the data collection and extraction to the type of distress, considering the distress detection, classification, and quantification phases of the procedure.
Antonella Ragnoli; Maria Rosaria De Blasiis; Alessandro Di Benedetto. Pavement Distress Detection Methods: A Review. Infrastructures 2018, 3, 58 .
AMA StyleAntonella Ragnoli, Maria Rosaria De Blasiis, Alessandro Di Benedetto. Pavement Distress Detection Methods: A Review. Infrastructures. 2018; 3 (4):58.
Chicago/Turabian StyleAntonella Ragnoli; Maria Rosaria De Blasiis; Alessandro Di Benedetto. 2018. "Pavement Distress Detection Methods: A Review." Infrastructures 3, no. 4: 58.
The road pavement condition affects safety and comfort, traffic and travel times, vehicles operating cost and emission levels. In order to optimize the road pavement management and guarantee satisfactory mobility conditions for all the road users, the Pavement Management System (PMS) is an effective tool for the road manager. An effective PMS requires the availability of pavement distress data, the possibility of data maintenance and updating, in order to evaluate the best maintenance program. In the last decade, many researches have been focused on pavement distress detection, using a huge variety of technological solutions for both data collection and information extraction and qualification. This paper presents a literature review of data collection systems and processing approach aimed at the pavement condition evaluation. Both commercial solutions and research approaches have been included. The main goal is to draw a framework of the actual existing solutions, considering them from a different point of view in order to identify the most suitable for further research and technical improvement, also considering the automated and semi-automated emerging technologies. An important attempt is to evaluate the aptness of the data collection and extraction to the type of distress, considering the distress detection, classification and quantification phases of the procedure.
Antonella Ragnoli; Maria Rosaria De Blasiis; Alessandro Di Benedetto. Pavement Distress Detection Methods: A Review. 2018, 1 .
AMA StyleAntonella Ragnoli, Maria Rosaria De Blasiis, Alessandro Di Benedetto. Pavement Distress Detection Methods: A Review. . 2018; ():1.
Chicago/Turabian StyleAntonella Ragnoli; Maria Rosaria De Blasiis; Alessandro Di Benedetto. 2018. "Pavement Distress Detection Methods: A Review." , no. : 1.
The evaluation of the structural efficiency of airport infrastructures is a complex task. Faulting is one of the most important indicators of rigid pavement performance. The aim of our study is to provide a new method for faulting detection and computation on jointed concrete pavements. Nowadays, the assessment of faulting is performed with the use of laborious and time-consuming measurements that strongly hinder aircraft traffic. We proposed a field procedure for Terrestrial Laser Scanner data acquisition and a computation flow chart in order to identify and quantify the fault size at each joint of apron slabs. The total point cloud has been used to compute the least square plane fitting those points. The best-fit plane for each slab has been computed too. The attitude of each slab plane with respect to both the adjacent ones and the apron reference plane has been determined by the normal vectors to the surfaces. Faulting has been evaluated as the difference in elevation between the slab planes along chosen sections. For a more accurate evaluation of the faulting value, we have then considered a few strips of data covering rectangular areas of different sizes across the joints. The accuracy of the estimated quantities has been computed too.
Maurizio Barbarella; Fabrizio D’Amico; Maria Rosaria De Blasiis; Alessandro Di Benedetto; Margherita Fiani. Use of Terrestrial Laser Scanner for Rigid Airport Pavement Management. Sensors 2017, 18, 44 .
AMA StyleMaurizio Barbarella, Fabrizio D’Amico, Maria Rosaria De Blasiis, Alessandro Di Benedetto, Margherita Fiani. Use of Terrestrial Laser Scanner for Rigid Airport Pavement Management. Sensors. 2017; 18 (2):44.
Chicago/Turabian StyleMaurizio Barbarella; Fabrizio D’Amico; Maria Rosaria De Blasiis; Alessandro Di Benedetto; Margherita Fiani. 2017. "Use of Terrestrial Laser Scanner for Rigid Airport Pavement Management." Sensors 18, no. 2: 44.
The knowledge of the geometric features of an airport’s pavement surface is essential to ensuring the safety and comfort of the driving users. For this purpose, it is important to find the most suitable survey methods and computation procedures for determining these geometric features and their evolution over time. In this study, we used a terrestrial laser scanner (TLS) to survey a stretch of a taxiway of an international airport. We designed the survey with the goal of defining the optimal parameters for the scans and the spacing between the TLS station points, combining high efficiency with data quality and accuracy. An algorithm for the semi-automatic extraction of the longitudinal and transversal profiles of the track from the digital elevation model (DEM) has been implemented. Longitudinal and cross slopes have been computed from the profiles using a linear fit, assessing the conformity of the values to the standards. The algorithm allows the verification of irregularities and the assessment of the severity of deviations from a linear trend. Our approach is suitable for obtaining an accurate reconstruction of the road surface that can be measured in post-processing and that is geo-referenced in a way that allows monitoring over time. We believe that the surveying technique that we analysed and assessed could improves the effectiveness of the measurements, and it could be used wherever pavement geometry control cannot be performed on discrete elements but rather a continuous approach is needed.
Maurizio Barbarella; Maria Rosaria De Blasiis; Margherita Fiani. Terrestrial laser scanner for the analysis of airport pavement geometry. International Journal of Pavement Engineering 2017, 20, 466 -480.
AMA StyleMaurizio Barbarella, Maria Rosaria De Blasiis, Margherita Fiani. Terrestrial laser scanner for the analysis of airport pavement geometry. International Journal of Pavement Engineering. 2017; 20 (4):466-480.
Chicago/Turabian StyleMaurizio Barbarella; Maria Rosaria De Blasiis; Margherita Fiani. 2017. "Terrestrial laser scanner for the analysis of airport pavement geometry." International Journal of Pavement Engineering 20, no. 4: 466-480.
Literature has shown the importance of studying alertness and attention in drivers by means of electroencephalographic (EEG) indexes. Moreover, many kinematic parameters can be used to give information about the safety of the road depending on the traffic flow. To our knowledge, no study, has focused the attention on the relationship between alertness indexes and kinematic parameters. The aim of this study was to analyse the influence of traffic conditions on alertness by assessing an EEG index (EI) and the relationship between EI and kinematic parameters. Nine volunteers participated in the study. The experiment was carried on by using the STISIM driving simulator. Three scenarios were simulated. Each scenario was characterized by a different traffic flow. From STISIM two kinematic parameters were considered: mean velocity and distance from the central line during driving. EEG data were recorded during driving simulations and the EI was derived from the power spectral bands of EEG. The results showed significant different values for EI among the three conditions, with the highest level of alertness in urban scenario. Significant differences for the kinematic parameters were also found. The mean velocity decreased when the traffic conditions were more demanding, and the capacity to maintain the vehicle in the centre of the road decreased when the traffic conditions were less demanding. The analysis suggests that when the mean velocity increases, the alertness decreases with a consequent increased risk of collision; conversely when the mean velocity decreases, also EI decreases so demonstrating a greater level of alertness accomplished by driving on the centre of the road, so reducing the probably of collision. These results suggest that the alertness of the drivers is influenced by the traffic flow.
Carmen D’Anna; Daniele Bibbo; Maurizio Bertollo; Selenia Di Fronso; Silvia Comani; Maria Rosaria De Blasiis; Valerio Veraldi; Michela Goffredo; Silvia Conforto. State of Alertness During Simulated Driving Tasks. VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014 2016, 57, 913 -918.
AMA StyleCarmen D’Anna, Daniele Bibbo, Maurizio Bertollo, Selenia Di Fronso, Silvia Comani, Maria Rosaria De Blasiis, Valerio Veraldi, Michela Goffredo, Silvia Conforto. State of Alertness During Simulated Driving Tasks. VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014. 2016; 57 ():913-918.
Chicago/Turabian StyleCarmen D’Anna; Daniele Bibbo; Maurizio Bertollo; Selenia Di Fronso; Silvia Comani; Maria Rosaria De Blasiis; Valerio Veraldi; Michela Goffredo; Silvia Conforto. 2016. "State of Alertness During Simulated Driving Tasks." VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014 57, no. : 913-918.
Weaving lanes are designed to ensure the crossing of two or more traffic streams traveling in the same direction along stretch of road without the aid of traffic control devices. Weaving lanes assume a key role in roundabouts characterized by wide inscribed circle diameter, where the weaving maneuver represents a crucial aspect for safety. This is confirmed by several findings that demonstrate as the weaving maneuver is one of the most difficult operation to analyze in terms of road safety. Many studies report that the combination between the length of weaving lanes and the traffic volume is a key factor to explain high accident rate along interchange zones. Bearing in mind this facet, this article proposes an analysis of driver behavior on different weaving lanes in various traffic conditions performed on an interactive driving simulator. Different lengths of weaving lane combined with different traffic flow conditions were simulated, and the different drivers' performance have been analyzed. A risk assessment has been conducted by analyzing driver's behavior as a function of driver's risk perception. It has been observed that the increase of weaving lane length is effective only when the traffic flow conditions exceed a certain threshold.
Maria Rosaria De Blasiis; Selene Diana; Valerio Veraldi. Safety audit for weaving maneuver: A driver simulation safety analysis. Journal of Transportation Safety & Security 2016, 10, 159 -175.
AMA StyleMaria Rosaria De Blasiis, Selene Diana, Valerio Veraldi. Safety audit for weaving maneuver: A driver simulation safety analysis. Journal of Transportation Safety & Security. 2016; 10 (1-2):159-175.
Chicago/Turabian StyleMaria Rosaria De Blasiis; Selene Diana; Valerio Veraldi. 2016. "Safety audit for weaving maneuver: A driver simulation safety analysis." Journal of Transportation Safety & Security 10, no. 1-2: 159-175.
Maria Rosaria De Blasiis; Chiara Ferrante; Antonella Santilli; Valerio Veraldi; Neville A. Stanton; Steven Landry; Giuseppe Di Bucchianico; Andrea Vallicelli. Driving Behavior in Weaving Maneuver: A Driving Simulator Study. Advances in Ergonomics in Design 2016, 313 -325.
AMA StyleMaria Rosaria De Blasiis, Chiara Ferrante, Antonella Santilli, Valerio Veraldi, Neville A. Stanton, Steven Landry, Giuseppe Di Bucchianico, Andrea Vallicelli. Driving Behavior in Weaving Maneuver: A Driving Simulator Study. Advances in Ergonomics in Design. 2016; ():313-325.
Chicago/Turabian StyleMaria Rosaria De Blasiis; Chiara Ferrante; Antonella Santilli; Valerio Veraldi; Neville A. Stanton; Steven Landry; Giuseppe Di Bucchianico; Andrea Vallicelli. 2016. "Driving Behavior in Weaving Maneuver: A Driving Simulator Study." Advances in Ergonomics in Design , no. : 313-325.
It is well known that traffic has increased in the last years. This phenomenon has significantly changed traffic flow conditions and has produced a significant increase of interferences. Because of this, it is more effective using emission data calculated point by point instead of average values. In order to generalize the phenomenon of emissions, the analysis took advantage of the experiments carried out in the virtual reality laboratory. This research takes into account two different geometries and for each geometry, three different flow conditions. Data recorded using the driving simulator will be compared with data obtained from real scale tests
Maria Rosaria De Blasiis; Mauro Di Prete; Claudia Guattari; Valerio Veraldi. Traffic Emissions Estimation Along a Road Infrastructure Using a Driving Simulator. Procedia - Social and Behavioral Sciences 2012, 53, 213 -222.
AMA StyleMaria Rosaria De Blasiis, Mauro Di Prete, Claudia Guattari, Valerio Veraldi. Traffic Emissions Estimation Along a Road Infrastructure Using a Driving Simulator. Procedia - Social and Behavioral Sciences. 2012; 53 ():213-222.
Chicago/Turabian StyleMaria Rosaria De Blasiis; Mauro Di Prete; Claudia Guattari; Valerio Veraldi. 2012. "Traffic Emissions Estimation Along a Road Infrastructure Using a Driving Simulator." Procedia - Social and Behavioral Sciences 53, no. : 213-222.
Acceleration lanes provide access to freeways with the aim of improving traffic flow conditions and safety. Therefore, provision of an appropriate entrance ramp and acceleration lane geometry that allows the entering vehicle to accelerate to a speed closer to the main flow speed is crucial for comfortable and safe merging maneuvers. This paper presents an analysis of driver behavior on different acceleration lanes in various traffic conditions performed on an interactive driving simulator. Three different traffic volumes combined with two lengths of acceleration lane were simulated and their effects on driving performances have been studied. It has been observed that driver behavior during merging maneuvers is significantly influenced by traffic volume on the main lane and that the acceleration lane length does not show any significant effect on drivers’ speed, trajectories, and accelerations. In particular, as the traffic volume increases, so does the merging length of the driver; the acceleration oscillations and the number of gaps rejected also increase. The general results show that the advanced techniques of driving simulation can disclose the relationships between road design parameters and behavioral aspects important to create safer road infrastructure. Further simulation studies are planned to confirm the findings and to strengthen and generalize the results.
Alessandro Calvi; Maria Rosaria De Blasiis. Driver Behavior on Acceleration Lanes. Transportation Research Record: Journal of the Transportation Research Board 2011, 2248, 96 -103.
AMA StyleAlessandro Calvi, Maria Rosaria De Blasiis. Driver Behavior on Acceleration Lanes. Transportation Research Record: Journal of the Transportation Research Board. 2011; 2248 (1):96-103.
Chicago/Turabian StyleAlessandro Calvi; Maria Rosaria De Blasiis. 2011. "Driver Behavior on Acceleration Lanes." Transportation Research Record: Journal of the Transportation Research Board 2248, no. 1: 96-103.
Ground Penetrating Radar (GPR) has been using in the pavement engineering since almost twenty years. The traditional and mostly diffused application is the evaluation of the thicknesses of pavement layers. Such a measure can be done at traffic velocity with no impact on safety and operability of the roads. The actual frontier is the evaluation of the thickness in the case of thin layers. More recently GPR has been used to evaluate the pavement conditions. In the paper we present the methods for the electronic detection of pavement singularities as for moisture and bulk densities evaluation. At this regards a novel approach in the frequency domain that has been recently developed and validated is presented in the paper.
Andrea Benedetto; Maria Rosaria De Blasiis. Applications of Ground Penetrating Radar to Road Pavement: State of the Art and Novelties. Geoenvironmental Engineering and Geotechnics 2010, 412 -419.
AMA StyleAndrea Benedetto, Maria Rosaria De Blasiis. Applications of Ground Penetrating Radar to Road Pavement: State of the Art and Novelties. Geoenvironmental Engineering and Geotechnics. 2010; ():412-419.
Chicago/Turabian StyleAndrea Benedetto; Maria Rosaria De Blasiis. 2010. "Applications of Ground Penetrating Radar to Road Pavement: State of the Art and Novelties." Geoenvironmental Engineering and Geotechnics , no. : 412-419.
It is actually well known that road safety is crucially related to human factors. The road geometry itself often induces incorrect driving behaviors. This is confirmed by recent on road experiments, using an instrumented vehicle, such as by some occasional studies based on simulation. A validated driving simulation based approach is efficient and user friendly. This paper shows at first the outcomes of a laboratory survey that involved 120 drivers (> 2400 simulations) using a simple PC image generator. One entry straight, a transition curve (spiral) and a circular curve, a symmetrical spiral and a final straight geometrically compose the considered road. The dispersion of the trajectories for different speeds and lengths of the spirals and different radius of the circular curve has been analyzed. The outcomes show that usually assumed approaches in road geometry design can sometimes induce a deficit of safety. For example, when the angular deviation of the circular curve is greater than 40°, the safety standard decreases if the spiral length increases. This result seems to disappoint the well-established know-how. It cannot be explained through physical relationships, because of it refers to human perception and reaction. Secondly the paper presents more advanced results, that have been obtained using an interactive driving simulator. A road, in closed path configuration, is designed for simulation. A complete simulation survey has been carried out, recording the trajectories, the speeds, the accelerations, some bio-medical parameters, and more than 30 other parameters. This experimental survey greatly confirms the effectiveness of the simulation approach to validate the standards of the road geometry, for the safety assessment. Finally the study, sometimes contrary to the usual traditionally adopted technical rules, demonstrates it is not possible to set a geometrical safe standard, unless the impact on the human factors is verified.
Carlo Benedetto; Maria Rosaria De Blasiis; Andrea Benedetto. A Driving Simulator Based Integrated Approach for Road Geometry Validation: An Assessment of the Road Safety Standards. Applications of Advanced Technologies in Transportation (2002) 2002, 696 -703.
AMA StyleCarlo Benedetto, Maria Rosaria De Blasiis, Andrea Benedetto. A Driving Simulator Based Integrated Approach for Road Geometry Validation: An Assessment of the Road Safety Standards. Applications of Advanced Technologies in Transportation (2002). 2002; ():696-703.
Chicago/Turabian StyleCarlo Benedetto; Maria Rosaria De Blasiis; Andrea Benedetto. 2002. "A Driving Simulator Based Integrated Approach for Road Geometry Validation: An Assessment of the Road Safety Standards." Applications of Advanced Technologies in Transportation (2002) , no. : 696-703.