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This paper reviews the state of the art in traffic signal control methods that are based on data coming from onboard smartphones or connected vehicles. The review of the state of the art is carried out by applying analytical scientometric tools (topic visualization, co-citation analysis to establish influential journals and references, country analysis based on coauthorship, trending-topics analysis carried out by overlay visualization). The introduction of autonomous and connected vehicles will allow city management organizations to introduce new intersection management systems that rely on real-time positional data coming from instrumented vehicles. Traditional vehicles also could benefit from these new technologies by profiting from better-regulated intersections. This paper using a scientometric approach frames all the scientific contributions aimed at the field of traffic signal methods and experiments based on connected vehicles and floating car data. The applied scientometric approach reveals trending ideas and concepts and identifies the relevant documents that can be consulted in order for scientists and professionals to develop further this field with the implementation of new traffic signal control systems that can “give the green light” to drivers.
Vittorio Astarita; Vincenzo Giofrè; Giuseppe Guido; Alessandro Vitale. A Scientometric-Based Review of Traffic Signal Control Methods and Experiments Based on Connected Vehicles and Floating Car Data (FCD). Applied Sciences 2021, 11, 5547 .
AMA StyleVittorio Astarita, Vincenzo Giofrè, Giuseppe Guido, Alessandro Vitale. A Scientometric-Based Review of Traffic Signal Control Methods and Experiments Based on Connected Vehicles and Floating Car Data (FCD). Applied Sciences. 2021; 11 (12):5547.
Chicago/Turabian StyleVittorio Astarita; Vincenzo Giofrè; Giuseppe Guido; Alessandro Vitale. 2021. "A Scientometric-Based Review of Traffic Signal Control Methods and Experiments Based on Connected Vehicles and Floating Car Data (FCD)." Applied Sciences 11, no. 12: 5547.
Connected vehicles can transmit real-time information to traffic control management systems. Despite the recent technical advances of telecommunication networks and mobile computing there have been no real-time adaptive traffic signal control experiments with connected vehicles. Most of the research in this field has been carried out only with simulations. In this work we present the computer system that was adopted to regulate traffic signals in real-time with "smartphone-connected" vehicles as the only source of information. We introduce the description of the computer system architecture that was deployed in an experiment of a Floating Car Data (FCD)-based adaptive traffic signal in which a traffic signal has been regulated in real-time with 100% "smartphone-connected" vehicles. The description of the system based on commonly-used technologies could help others to develop and deploy new traffic signal management systems in new "connected" intersections.
Vittorio Astarita; Vincenzo Pasquale Giofrè; Giuseppe Guido; Alessandro Vitale. The Computer System Architecture of our first real-time real-world experiment of adaptive traffic signals with "connected" vehicles. Procedia Computer Science 2020, 177, 474 -479.
AMA StyleVittorio Astarita, Vincenzo Pasquale Giofrè, Giuseppe Guido, Alessandro Vitale. The Computer System Architecture of our first real-time real-world experiment of adaptive traffic signals with "connected" vehicles. Procedia Computer Science. 2020; 177 ():474-479.
Chicago/Turabian StyleVittorio Astarita; Vincenzo Pasquale Giofrè; Giuseppe Guido; Alessandro Vitale. 2020. "The Computer System Architecture of our first real-time real-world experiment of adaptive traffic signals with "connected" vehicles." Procedia Computer Science 177, no. : 474-479.
This paper intends to present some ideas for the implementation of cooperative ITS systems based on the Blockchain Technology (BT) concept. Blockchain technology has been recently introduced and, in this paper, we discuss a system that is based on a dedicated blockchain, able to involve both drivers and city administrations in the adoption of promising and innovative technologies that will create cooperation among connected vehicles. The proposed blockchain-based system can allow city administrators to reward drivers when they are willing to share travel data. The system manages in a special way the creation of new coins which are assigned to drivers and institutions participating actively in the system. Moreover, the system allows keeping a complete track of all transactions and interactions between drivers and city management on a completely open and shared platform. The main idea is to combine connected vehicles with BT to promote Cooperative ITS use and a better use of infrastructures.
Vittorio Astarita; Vincenzo Pasquale Giofrè; Giuseppe Guido; Alessandro Vitale. The use of a Blockchain-based System in Traffic Operations to promote Cooperation among Connected Vehicles. Procedia Computer Science 2020, 177, 220 -226.
AMA StyleVittorio Astarita, Vincenzo Pasquale Giofrè, Giuseppe Guido, Alessandro Vitale. The use of a Blockchain-based System in Traffic Operations to promote Cooperation among Connected Vehicles. Procedia Computer Science. 2020; 177 ():220-226.
Chicago/Turabian StyleVittorio Astarita; Vincenzo Pasquale Giofrè; Giuseppe Guido; Alessandro Vitale. 2020. "The use of a Blockchain-based System in Traffic Operations to promote Cooperation among Connected Vehicles." Procedia Computer Science 177, no. : 220-226.
There is no definite conclusion about what the main variables that play a fundamental role in road safety are. Therefore, the identification of significant factors in road accidents has been a primary concern of the transportation safety research community for many years. Every accident is influenced by multiple variables that, in a given time interval, concur to cause a crash scenario. Information coming from crash reports is very useful in traffic safety research, and several reported crash variables can be analyzed with modern statistical methods to establish whether a classification or clustering of different crash variables is possible. Hence, this study aims to use stochastic techniques for evaluating the role of some variables in accidents with a clustering analysis. The variables that are considered in this paper are light conditions, weekday, average speed, annual average daily traffic, number of vehicles, and type of accident. For this purpose, a combination of particle swarm optimization (PSO) and the genetic algorithm (GA) with the k-means algorithm was used as the machine-learning technique to cluster and evaluate road safety data. According to a multiscale approach, based on a set of data from two years of crash records collected from rural and urban roads in the province of Cosenza, 154 accident cases were accurately investigated and selected for three categories of accident places, including straight, intersection, and other, in each urban and rural network. PSO had a superior performance, with 0.87% accuracy on urban and rural roads in comparison with GA, although the results of GA had an acceptable degree of accuracy. In addition, the results show that, on urban roads, social cost and type of accident had the most and least influence for all accident places, while, on rural roads, although the social cost was the most notable factor for all accident places, the type of accident had the least effect on the straight sections and curves, and the number of vehicles had the least influence at intersections.
Giuseppe Guido; Sina Haghshenas; Sami Haghshenas; Alessandro Vitale; Vittorio Astarita; Ashkan Haghshenas. Feasibility of Stochastic Models for Evaluation of Potential Factors for Safety: A Case Study in Southern Italy. Sustainability 2020, 12, 7541 .
AMA StyleGiuseppe Guido, Sina Haghshenas, Sami Haghshenas, Alessandro Vitale, Vittorio Astarita, Ashkan Haghshenas. Feasibility of Stochastic Models for Evaluation of Potential Factors for Safety: A Case Study in Southern Italy. Sustainability. 2020; 12 (18):7541.
Chicago/Turabian StyleGiuseppe Guido; Sina Haghshenas; Sami Haghshenas; Alessandro Vitale; Vittorio Astarita; Ashkan Haghshenas. 2020. "Feasibility of Stochastic Models for Evaluation of Potential Factors for Safety: A Case Study in Southern Italy." Sustainability 12, no. 18: 7541.
The traditional analysis of road safety is based on statistical methods that are applied to crash databases to understand the significance of geometrical and traffic features on safety, or in order to localize black spots. These classic methodologies, which are based on real crash data and have a solid background, usually do not explicitly consider the trajectories of vehicles at any given location. Moreover, they are not easily applicable for making comparisons between different traffic network designs. Surrogate safety measures, instead, may enable researchers and practitioners to overcome these limitations. Unfortunately, the most commonly used surrogate safety measures also present certain limits: Many of them do not take into account the severity of a potential collision and the dangers posed by road-side objects and/or the possibility of drivers being involved in a single-vehicle crash. This paper proposes a new surrogate safety indicator founded on vehicle trajectories, capable also of considering road-side objects. The validity of the proposed indicator is assessed by means of comparison between the calculation of surrogate safety measures on micro-simulated trajectories and the real crash risk obtained with data on real crashes observed at several urban intersection scenarios. The proposed experimental framework is also applied (for comparison) to classical indicators such as TTC (time to collision) and PET (post-encroachment time).
Vittorio Astarita; Ciro Caliendo; Vincenzo Giofrè; Isidoro Russo. Surrogate Safety Measures from Traffic Simulation: Validation of Safety Indicators with Intersection Traffic Crash Data. Sustainability 2020, 12, 6974 .
AMA StyleVittorio Astarita, Ciro Caliendo, Vincenzo Giofrè, Isidoro Russo. Surrogate Safety Measures from Traffic Simulation: Validation of Safety Indicators with Intersection Traffic Crash Data. Sustainability. 2020; 12 (17):6974.
Chicago/Turabian StyleVittorio Astarita; Ciro Caliendo; Vincenzo Giofrè; Isidoro Russo. 2020. "Surrogate Safety Measures from Traffic Simulation: Validation of Safety Indicators with Intersection Traffic Crash Data." Sustainability 12, no. 17: 6974.
Evaluating road safety is an enduring research topic in Infrastructure and Transportation Engineering. The prediction of crash risk is very important for avoiding other crashes and safeguarding road users. According to this task, awareness of the number of vehicles involved in an accident contributes greatly to safety analysis, hence, it is necessary to predict it. In this study, the main aim is to develop a binary model for predicting the number of vehicles involved in an accident using Neural Networks and the Group Method of Data Handling (GMDH). For this purpose, 775 accident cases were accurately recorded and evaluated from the urban and rural areas of Cosenza in southern Italy and some notable parameters were considered as input data including Daylight, Weekday, Type of accident, Location, Speed limit and Average speed; and the number of vehicles involved in an accident was considered as output. In this study, 581 cases were selected randomly from the dataset to train and the rest were used to test the developed binary model. A confusion matrix and a Receiver Operating Characteristic curve were used to investigate the performance of the proposed model. According to the obtained results, the accuracy values of the prediction model were 83.5% and 85.7% for testing and training, respectively. Finally, it can be concluded that the developed binary model can be applied as a reliable tool for predicting the number of vehicles involved in an accident.
Giuseppe Guido; Sina Haghshenas; Sami Haghshenas; Alessandro Vitale; Vincenzo Gallelli; Vittorio Astarita. Development of a Binary Classification Model to Assess Safety in Transportation Systems Using GMDH-Type Neural Network Algorithm. Sustainability 2020, 12, 6735 .
AMA StyleGiuseppe Guido, Sina Haghshenas, Sami Haghshenas, Alessandro Vitale, Vincenzo Gallelli, Vittorio Astarita. Development of a Binary Classification Model to Assess Safety in Transportation Systems Using GMDH-Type Neural Network Algorithm. Sustainability. 2020; 12 (17):6735.
Chicago/Turabian StyleGiuseppe Guido; Sina Haghshenas; Sami Haghshenas; Alessandro Vitale; Vincenzo Gallelli; Vittorio Astarita. 2020. "Development of a Binary Classification Model to Assess Safety in Transportation Systems Using GMDH-Type Neural Network Algorithm." Sustainability 12, no. 17: 6735.
This paper intends to give a short review of the state of the art on the use of floating car data concerning the management of traffic flow at signalized intersections. New technologies such as connected and autonomous vehicles and Co-operative Intelligent Transportation Systems (C-ITS) are going to change the future of traffic control and management. Traffic signal control systems can be reorganized by using Floating Car Data (FCD), yet the concept of floating car data (FCD) has been mainly studied to gain traffic information and/or signal information. Only recent works have been focalizing on the potential application of FCD for traffic signal real-time control. This paper aims to evidence the most important concepts that can be extracted from the literature on this important topic.
Vittorio Astarita; Vincenzo Pasquale Giofrè; Giuseppe Guido; Alessandro Vitale. A review of traffic signal control methods and experiments based on Floating Car Data (FCD). Procedia Computer Science 2020, 175, 745 -751.
AMA StyleVittorio Astarita, Vincenzo Pasquale Giofrè, Giuseppe Guido, Alessandro Vitale. A review of traffic signal control methods and experiments based on Floating Car Data (FCD). Procedia Computer Science. 2020; 175 ():745-751.
Chicago/Turabian StyleVittorio Astarita; Vincenzo Pasquale Giofrè; Giuseppe Guido; Alessandro Vitale. 2020. "A review of traffic signal control methods and experiments based on Floating Car Data (FCD)." Procedia Computer Science 175, no. : 745-751.
Traffic conflicts based surrogate safety indicators have been applied extensively on real trajectories and in simulation. Such indicators can be useful to assess the safety of a given scenario without the need to use real crash data (which in many cases may be unavailable). Unfortunately, all traffic conflict indicators that are commonly used have a structural limitation: they are not able to consider potential conflicts with roadside obstacles or barriers and conflicts between vehicles which are travelling on non-conflicting trajectories. This limitation is a serious limitation since crash data analy sis shows that at least 40% of fatal crashes are originated by single vehicle accidents against a fixed object or by vehicles travelling in opposite directions. This paper is intended as a concept paper that presents an alternative view on conflict safety indicators showing that new indicators can be generated by the perturbation of vehicle trajectories overcoming the above indicated limitations.
Vittorio Astarita; Vincenzo Pasquale Giofrè. Trajectory Perturbation in Surrogate Safety Indicators. Transportation Research Procedia 2020, 47, 393 -400.
AMA StyleVittorio Astarita, Vincenzo Pasquale Giofrè. Trajectory Perturbation in Surrogate Safety Indicators. Transportation Research Procedia. 2020; 47 ():393-400.
Chicago/Turabian StyleVittorio Astarita; Vincenzo Pasquale Giofrè. 2020. "Trajectory Perturbation in Surrogate Safety Indicators." Transportation Research Procedia 47, no. : 393-400.
In large-scale civil emergencies such as floods, earthquakes, and extreme weather conditions, extended geographic areas and a great number of people may be affected by the unfortunate events. The wireless internet and the widespread diffusion of smart-phones and mobile devices make it possible to introduce new systems for emergency management. These systems could improve the efficiency of the interventions by transferring information between affected areas and a central decision support system. Information on the state of the infrastructures, on people displacement, and on every other important and urgent issue can be gathered in the disaster area. The central system can manage all the received information and communicate decisions back to people and also facilitate the exchange of information for different people that are still in the disaster area. This paper presents a requirement analysis for these kinds of systems. The presented analysis allows better tailoring of the features of these systems with the aim to meet the real need of emergency management operators and citizens.
Vittorio Astarita; Vincenzo Pasquale Giofrè; Giuseppe Guido; Giulio Stefano; Alessandro Vitale. Mobile Computing for Disaster Emergency Management: Empirical Requirements Analysis for a Cooperative Crowdsourced System for Emergency Management Operation. Smart Cities 2020, 3, 31 -47.
AMA StyleVittorio Astarita, Vincenzo Pasquale Giofrè, Giuseppe Guido, Giulio Stefano, Alessandro Vitale. Mobile Computing for Disaster Emergency Management: Empirical Requirements Analysis for a Cooperative Crowdsourced System for Emergency Management Operation. Smart Cities. 2020; 3 (1):31-47.
Chicago/Turabian StyleVittorio Astarita; Vincenzo Pasquale Giofrè; Giuseppe Guido; Giulio Stefano; Alessandro Vitale. 2020. "Mobile Computing for Disaster Emergency Management: Empirical Requirements Analysis for a Cooperative Crowdsourced System for Emergency Management Operation." Smart Cities 3, no. 1: 31-47.
The purpose of this document is to validate a new methodology useful for the estimation of road accidents resulting from possible driver distractions. This was possible through a statistical comparison made between real accident data between 2016 and 2018 in the city of Santander (Spain) and simulated data resulting from the application of the methodology on two areas of study. The methodology allows us to evaluate possible collisions starting from the knowledge of vehicular trajectories extrapolated from microsimulation. Studies show that there are good correlations between the real data and the simulated data. The results obtained show that the proposed methodology can be considered reliable and, therefore, it could be of fundamental importance for designers, since it would simplify the choice between different possible intervention scenarios, determining which is the least risky in terms of road safety.
Borja Alonso; Vittorio Astarita; Luigi Dell’Olio; Vincenzo Pasquale Giofrè; Giuseppe Guido; Marcella Marino; William Sommario; Alessandro Vitale. Validation of Simulated Safety Indicators with Traffic Crash Data. Sustainability 2020, 12, 925 .
AMA StyleBorja Alonso, Vittorio Astarita, Luigi Dell’Olio, Vincenzo Pasquale Giofrè, Giuseppe Guido, Marcella Marino, William Sommario, Alessandro Vitale. Validation of Simulated Safety Indicators with Traffic Crash Data. Sustainability. 2020; 12 (3):925.
Chicago/Turabian StyleBorja Alonso; Vittorio Astarita; Luigi Dell’Olio; Vincenzo Pasquale Giofrè; Giuseppe Guido; Marcella Marino; William Sommario; Alessandro Vitale. 2020. "Validation of Simulated Safety Indicators with Traffic Crash Data." Sustainability 12, no. 3: 925.
The future of traffic management will be based on “connected” and “autonomous” vehicles. With connected vehicles it is possible to gather real-time information. The main potential application of this information is in real-time adaptive traffic signal control. Despite the feasibility of using Floating Car Data (FCD), for signal control, there have been practically no real experiments with all “connected” vehicles to regulate traffic signals in real-time. Most of the research in this field has been carried out with simulations. The purpose of this study is to present a dedicated system that was implemented in the first experiment of an FCD-based adaptive traffic signal. For the first time in the history of traffic management, a traffic signal has been regulated in real time with real “connected” vehicles. This paper describes the entire path of software and system development that has allowed us to make the steps from just simulation test to a real on-field implementation. Results of the experiments carried out with the presented system prove the feasibility of FCD adaptive traffic signals with commonly-used technologies and also establishes a test-bed that may help others to develop better regulation algorithms for these kinds of new “connected” intersections.
Vittorio Astarita; Vincenzo Pasquale Giofré; Demetrio Carmine Festa; Giuseppe Guido; Alessandro Vitale. Floating Car Data Adaptive Traffic Signals: A Description of the First Real-Time Experiment with “Connected” Vehicles. Electronics 2020, 9, 114 .
AMA StyleVittorio Astarita, Vincenzo Pasquale Giofré, Demetrio Carmine Festa, Giuseppe Guido, Alessandro Vitale. Floating Car Data Adaptive Traffic Signals: A Description of the First Real-Time Experiment with “Connected” Vehicles. Electronics. 2020; 9 (1):114.
Chicago/Turabian StyleVittorio Astarita; Vincenzo Pasquale Giofré; Demetrio Carmine Festa; Giuseppe Guido; Alessandro Vitale. 2020. "Floating Car Data Adaptive Traffic Signals: A Description of the First Real-Time Experiment with “Connected” Vehicles." Electronics 9, no. 1: 114.
This paper presents a literature review about the application of blockchain-based systems in transportation. The main aim was to identify, through the implementation of a multi-step methodology: current research-trends, main gaps in the literature, and possible future challenges. First, a bibliometric analysis was carried out to obtain a broad overview of the topic of interest. Subsequently, the most influential contributions were analysed in depth, with reference to the following two areas: supply chain and logistics; road traffic management and smart cities. The most important result is that the blockchain technology is still in an early stage, but appears extremely promising, given its possible applications within multiple fields, such as food track and trace, regulatory compliance, smart vehicles’ security, and supply-demand matching. Much effort is still necessary for reaching the maturation stage because several models have been theorized in recent years, but very few have been implemented within real contexts. Moreover, the link blockchain-sustainability was explored, showing that this technology could be the trigger for limiting food waste, reducing exhaust gas emissions, favouring correct urban development, and, in general, improving quality of life.
Vittorio Astarita; Vincenzo Pasquale Giofrè; Giovanni Mirabelli; Vittorio Solina. A Review of Blockchain-Based Systems in Transportation. Information 2019, 11, 21 .
AMA StyleVittorio Astarita, Vincenzo Pasquale Giofrè, Giovanni Mirabelli, Vittorio Solina. A Review of Blockchain-Based Systems in Transportation. Information. 2019; 11 (1):21.
Chicago/Turabian StyleVittorio Astarita; Vincenzo Pasquale Giofrè; Giovanni Mirabelli; Vittorio Solina. 2019. "A Review of Blockchain-Based Systems in Transportation." Information 11, no. 1: 21.
Recently, many researchers have employed a microsimulation technique to study the chain of interactions among vehicles, which generates an accident occurrence in some circumstances. This new approach to studying road safety is named traffic conflict technique. The aim of this paper is to assess how the microscopic simulation is a useful tool to identify potentially unsafe vehicle interactions and how high-risk locations identified by a microsimulation technique are similar to the ones identified by using historical accident data. Results show that high-risk locations identified by the simulation framework are superimposable to those identified by using the historical accident database. In particular, the statistical analysis employed based on Pearson’s correlation demonstrates a significative correspondence between a risk rate defined with simulation and an accident rate determined by the observed accidents dataset.
Giuseppe Guido; Alessandro Vitale; Vittorio Astarita; Vincenzo Pasquale Giofrè. Comparison Analysis between Real Accident Locations and Simulated Risk Areas in An Urban Road Network. Safety 2019, 5, 60 .
AMA StyleGiuseppe Guido, Alessandro Vitale, Vittorio Astarita, Vincenzo Pasquale Giofrè. Comparison Analysis between Real Accident Locations and Simulated Risk Areas in An Urban Road Network. Safety. 2019; 5 (3):60.
Chicago/Turabian StyleGiuseppe Guido; Alessandro Vitale; Vittorio Astarita; Vincenzo Pasquale Giofrè. 2019. "Comparison Analysis between Real Accident Locations and Simulated Risk Areas in An Urban Road Network." Safety 5, no. 3: 60.
This paper presents a methodology that could support researchers and engineers in the important and original issue of the simulation of crashes and the evaluation of consequences on existing microsimulation packages. The proposed approach, by introducing potential driver errors, specifically allows consideration of the potential conflicts with road side barriers and obstacles and between vehicles that are moving on trajectories (close in space) that do not intersect. The severity of resulting crashes can, then, be evaluated in terms of accurate crash dynamic variables. Moreover, the methodology presented in the paper allows researchers to develop new conflict indicators that overcome many limitations of traditional traffic safety conflict indicators which, unfortunately, do not consider: the types of vehicle that are involved in a conflict, roadside obstacles or barriers, vehicles which are travelling on non-conflicting trajectories and the severity of a potential resulting crash. The paper applies a specific family of new simple and reproducible conflict indicators and provides the information necessary to develop new algorithms and simulation methodologies which, introducing human error in traffic simulation, may revolutionize the way traffic microsimulation can be used to establish a traffic safety for different scenarios. Feasibility tests on simple networks are presented and the results show the feasibility of making safety evaluations for different traffic scenarios by introducing driver errors.
Vittorio Astarita; Vincenzo Pasquale Giofré. From traffic conflict simulation to traffic crash simulation: Introducing traffic safety indicators based on the explicit simulation of potential driver errors. Simulation Modelling Practice and Theory 2019, 94, 215 -236.
AMA StyleVittorio Astarita, Vincenzo Pasquale Giofré. From traffic conflict simulation to traffic crash simulation: Introducing traffic safety indicators based on the explicit simulation of potential driver errors. Simulation Modelling Practice and Theory. 2019; 94 ():215-236.
Chicago/Turabian StyleVittorio Astarita; Vincenzo Pasquale Giofré. 2019. "From traffic conflict simulation to traffic crash simulation: Introducing traffic safety indicators based on the explicit simulation of potential driver errors." Simulation Modelling Practice and Theory 94, no. : 215-236.
New technologies such as "connected" and "autonomous" vehicles are going to change the future of traffic signal control and management and possibly will introduce new traffic signal systems that will be based on floating car data (FCD). The use of floating car data to regulate traffic signal systems, in real time, has the potential for an increased sustainability of transportation in terms of energy efficiency, traffic safety and environmental issues. However, research has never explored how not "connected" vehicles would benefit by the implementation of such systems. This paper explores the use of floating car data to regulate traffic signal systems in real-time in a single intersection and in terms of cooperative-competitive paradigm between "connected" vehicles and conventional vehicles. In a dedicated laboratory, developed for testing regulation algorithms, results show that "invisible vehicles" for the system (which are not "connected") in most simulated cases also benefit when real time traffic signal settings based on floating car data are introduced. Moreover, the study estimates the energy and air quality impacts of a single intersection signal regulation by evaluating fuel consumption and pollutant emissions. Specifically, the study demonstrates that significant improvements in air quality are possible with the introduction of FCD regulated traffic signals.
Vittorio Astarita; Vincenzo Pasquale Giofrè; Giuseppe Guido; Alessandro Vitale. A Single Intersection Cooperative-Competitive Paradigm in Real Time Traffic Signal Settings Based on Floating Car Data. Energies 2019, 12, 409 .
AMA StyleVittorio Astarita, Vincenzo Pasquale Giofrè, Giuseppe Guido, Alessandro Vitale. A Single Intersection Cooperative-Competitive Paradigm in Real Time Traffic Signal Settings Based on Floating Car Data. Energies. 2019; 12 (3):409.
Chicago/Turabian StyleVittorio Astarita; Vincenzo Pasquale Giofrè; Giuseppe Guido; Alessandro Vitale. 2019. "A Single Intersection Cooperative-Competitive Paradigm in Real Time Traffic Signal Settings Based on Floating Car Data." Energies 12, no. 3: 409.
This paper offers an assessment of intersection safety evaluation through the use of different traffic micro-simulators. The aim of the paper is to evaluate the applicability of traffic simulation in the safety evaluation of typical intersections. The considered scenarios are three real cases: a roundabout, a traffic light regulated intersection and an unregulated intersection. All cases were chosen in urban areas, where statistically the number of car interactions that could potentially turn into collisions is greater. All scenarios were assessed with three different microscopic traffic simulation models that were coupled with the FHWA tool SSAM.
Vittorio Astarita; Demetrio Carmine Festa; Vincenzo Pasquale Giofrè; Giuseppe Guido. Surrogate Safety Measures from Traffic Simulation Models a Comparison of different Models for Intersection Safety Evaluation. Transportation Research Procedia 2019, 37, 219 -226.
AMA StyleVittorio Astarita, Demetrio Carmine Festa, Vincenzo Pasquale Giofrè, Giuseppe Guido. Surrogate Safety Measures from Traffic Simulation Models a Comparison of different Models for Intersection Safety Evaluation. Transportation Research Procedia. 2019; 37 ():219-226.
Chicago/Turabian StyleVittorio Astarita; Demetrio Carmine Festa; Vincenzo Pasquale Giofrè; Giuseppe Guido. 2019. "Surrogate Safety Measures from Traffic Simulation Models a Comparison of different Models for Intersection Safety Evaluation." Transportation Research Procedia 37, no. : 219-226.
New technologies such as "connected" and "autonomous" vehicles are going to change the future of traffic signal control and management and possibly will introduce new traffic signal systems that will be based on floating car data (FCD). The use of floating car data to regulate, in real-time, traffic signal systems has the potential for an increased sustainability of transportation in terms of energy efficiency, traffic safety and environmental issues. However, research has never explored how not "connected" vehicles would benefit by the implementation of such systems. This paper explores the use of floating car data to regulate in real-time traffic signal systems in terms of cooperative-competitive paradigm between "connected" vehicles and conventional vehicles. In a dedicated laboratory, developed for testing regulation algorithms, results show that "invisible vehicles" for the system (which are not "connected") in most simulated cases also benefit when real time traffic signal settings based on floating car data are introduced. Moreover, the study estimates the energy and air quality impacts of signal regulation by evaluating fuel consumption and pollutant emissions. Specifically, the study demonstrates that significant improvements in air quality are possible with the introduction of FCD regulated traffic signals.
Vittorio Astarita; Vincenzo Pasquale Giofrè; Giuseppe Guido; Alessandro Vitale. Cooperative-Competitive Paradigm in Real Time Traffic Signal Settings Based on Floating Car Data. 2018, 1 .
AMA StyleVittorio Astarita, Vincenzo Pasquale Giofrè, Giuseppe Guido, Alessandro Vitale. Cooperative-Competitive Paradigm in Real Time Traffic Signal Settings Based on Floating Car Data. . 2018; ():1.
Chicago/Turabian StyleVittorio Astarita; Vincenzo Pasquale Giofrè; Giuseppe Guido; Alessandro Vitale. 2018. "Cooperative-Competitive Paradigm in Real Time Traffic Signal Settings Based on Floating Car Data." , no. : 1.
Mobile systems applied to traffic management and control and traffic safety have the potential to shape the future of road transportation. The following innovations, that will be deployed on a large scale, could reshape road traffic management practices: This paper intends to provide a state of the art on current systems and an anticipation of how mobile systems applied to traffic management and safety could lead to a completely new transportation system in which safety and congestion issues are finally properly addressed.
Vittorio Astarita; Demetrio Carmine Festa; Vincenzo Pasquale Giofrè. Mobile Systems applied to Traffic Management and Safety: a state of the art. Procedia Computer Science 2018, 134, 407 -414.
AMA StyleVittorio Astarita, Demetrio Carmine Festa, Vincenzo Pasquale Giofrè. Mobile Systems applied to Traffic Management and Safety: a state of the art. Procedia Computer Science. 2018; 134 ():407-414.
Chicago/Turabian StyleVittorio Astarita; Demetrio Carmine Festa; Vincenzo Pasquale Giofrè. 2018. "Mobile Systems applied to Traffic Management and Safety: a state of the art." Procedia Computer Science 134, no. : 407-414.
The future of road transportation is going to be shaped by connectivity and autonomous driving. Connected and autonomous vehicles are expected to increase safety and reduce traffic congestion. Once all the vehicles are connected and geo-localized there might still be a need to integrate a different level of autonomous vehicles on the road: from the human driven vehicle to the fully autonomous vehicle. While surrogate safety measures have been extensively considered to estimate the risk of accidents due to improper driving, there has been no attempt to use them to help drivers achieve a better driving style. This paper presents an experimentation on the idea to warn drivers when they are driving in such a way (owing to their interactions with other vehicles) that could potentially lead to an accident. In the proposed system the driver is warned of the risk of collision by the combined use of localization (GPS) gathered information and the application of road safety indicators such as Deceleration Rate to Avoid a Crash, Time To Collision and others. The experimentation involving car-following vehicles showed the feasibility, with existing technologies, of using surrogate measures of safety to assist the driver in keeping a better driving trajectory. Once connected vehicles are introduced on the market, the presented results can be a base to develop commercial smartphone applications that will allow users of "not connected" old vehicles to also take advantage of real time driving assistance for a safer use of the road.
Vittorio Astarita; Demetrio Carmine Festa; Vincenzo Pasquale Giofrè; Giuseppe Guido; Alessandro Vitale. The use of Smartphones to assess the Feasibility of a Cooperative Intelligent Transportation Safety System based on Surrogate Measures of Safety. Procedia Computer Science 2018, 134, 427 -432.
AMA StyleVittorio Astarita, Demetrio Carmine Festa, Vincenzo Pasquale Giofrè, Giuseppe Guido, Alessandro Vitale. The use of Smartphones to assess the Feasibility of a Cooperative Intelligent Transportation Safety System based on Surrogate Measures of Safety. Procedia Computer Science. 2018; 134 ():427-432.
Chicago/Turabian StyleVittorio Astarita; Demetrio Carmine Festa; Vincenzo Pasquale Giofrè; Giuseppe Guido; Alessandro Vitale. 2018. "The use of Smartphones to assess the Feasibility of a Cooperative Intelligent Transportation Safety System based on Surrogate Measures of Safety." Procedia Computer Science 134, no. : 427-432.
In serious emergencies, as in the case of floods and extreme weather conditions, where a substantial number of people are involved and over vast areas which may also involve different provinces, currently civil protection planning carries on emergency management operations within rigid schemes. A procedure that would be capable of handling events acquiring data continuously and developing real time solutions in a highly flexible manner has not yet been proposed. This research focuses on how the systematization of information systems and communication processes can improve the management of emergencies caused by extreme weather and climate events. The objectives of improved service, levels of safety and sustainability of the intervention in emergencies would be obtained through a centralized decision support system. The system and tools that are presented in this paper aim to respond to emergency issues dynamically responding to the dynamics of the events by taking advantage of an information system capable of sharing data, notifications, service orders, appeals for help, information on the status of the transport network and any other information. The system would provide decision support by acquiring information from smartphones and other nomadic devices; it would so provide exchange of information in real time on one or more virtual platforms among stakeholders and between them and the citizens. Substantially, the system is based on smartphone applications coupled with a central management emergency Decision Support System specifically built to make best use of the possibilities offered by the latest telematics systems and cooperative web and phone-based tools.
Vittorio Astarita; Demetrio Carmine Festa; Vincenzo Pasquale Giofrè; Giuseppe Guido; Giulio Stefano. Mobile for emergencies M4EM: a cooperative software tool for emergency management operations. Procedia Computer Science 2018, 134, 433 -438.
AMA StyleVittorio Astarita, Demetrio Carmine Festa, Vincenzo Pasquale Giofrè, Giuseppe Guido, Giulio Stefano. Mobile for emergencies M4EM: a cooperative software tool for emergency management operations. Procedia Computer Science. 2018; 134 ():433-438.
Chicago/Turabian StyleVittorio Astarita; Demetrio Carmine Festa; Vincenzo Pasquale Giofrè; Giuseppe Guido; Giulio Stefano. 2018. "Mobile for emergencies M4EM: a cooperative software tool for emergency management operations." Procedia Computer Science 134, no. : 433-438.