Smart Traffic Management System for Anticipating Unexpected Road Incidents in Intelligent Transportation Systems

2018 ◽  
Vol 10 (4) ◽  
pp. 67-82
Author(s):  
Abdelatif Sahraoui ◽  
Derdour Makhlouf ◽  
Philippe Roose
Keyword(s):  
Predictive Model ◽  
Intelligent Transportation Systems ◽  
Traffic Management ◽  
Management System ◽  
Statistical Significance ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Practical Case ◽  
Traffic Management System ◽  
Smart Traffic

This article describes how anticipating unforeseen road events reveal a serious problem in intelligent transportation systems. Due to the diversity of causes, road incidents do not require regular traffic conditions and accurate prediction of these incidents in real-time becomes a complicated task not defined so far. In this article, a smart traffic management system based cloud-assisted service is proposed to preserve the traffic safety by controlling the road segments and predicts the probability of incoming incidents. The proposed cloud-assisted service includes a predictive model based on logistic regression to predict the occurrence of unforeseen incidents. The sudden slowdown of vehicles speeds is the practical case of the article. The classification task of the predictive model incorporates four explained variables, including vehicle speed, the travel time and estimated delay time. The prediction accuracy is proved by checking the model relevance according to the quality of fit and the statistical significance of each explained variable.

scholarly journals Collaborative and Infrastructure-less Vehicular Traffic Rerouting for Intelligent Transportation Systems

2020 ◽  
Author(s):  
Ademar Takeo Akabane ◽  
Edmundo Roberto Mauro Madeira ◽  
Leandro Aparecido Villas
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Management System ◽  
Cost Effective ◽  
Intelligent Transportation ◽  
Good Alternative ◽  
Transportation Systems ◽  
Vehicular Traffic ◽  
Traffic Management System

This extended abstract provides an at-a-glance view of the main contributions of my Ph.D. work. The work aims to investigate and develop cutting-edge an infrastructure-less vehicular traffic management system in order to minimize vehicular traffic congestion and advance the state-of-the-art in intelligent transportation systems. The proposed solutions were widely compared with other literature solutions on different performance evaluation metrics. The evaluation results show that the proposed vehicle traffic management system is efficient, scalable, and cost-effective, which may be a good alternative to mitigate urban mobility problems.

scholarly journals Development of a Decision Making Algorithm for Traffic Jams Reduction Applied to Intelligent Transportation Systems

2016 ◽  
Vol 2016 ◽  
pp. 1-16
Author(s):  
David Gómez ◽  
José-Fernán Martínez ◽  
Juana Sendra ◽  
Gregorio Rubio
Keyword(s):  
Decision Making ◽  
Intelligent Transportation Systems ◽  
Traffic Management ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Analytic Hierarchy ◽  
Traffic Jams ◽  
Traffic Management System ◽  
Smart Traffic ◽  
Hierarchy Process

This paper is aimed at developing a decision making algorithm for traffic jams reduction that can be applied to Intelligent Transportation Systems. To do so, these algorithms must address two main challenges that arise in this context. On one hand, there are uncertainties in the data received from sensor networks produced by incomplete information or because the information loses some of the precision during information processing and display. On the other hand, there is the variability of the context in which these types of systems are operating. More specifically, Analytic Hierarchy Process (AHP) algorithm has been adapted to ITS, taking into account the mentioned challenges. After explaining the proposed decision making method, it is validated in a specific scenario: a smart traffic management system.

Network and Communication Design of a Work Zone Intelligent Transportation System

2005 ◽  
Vol 1910 (1) ◽  
pp. 64-71
Author(s):  
James Z. Lou
Keyword(s):  
Video Compression ◽  
Traffic Management ◽  
Management System ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Work Zone ◽  
Palm Beach County ◽  
Communication Design ◽  
Traffic Management System ◽  
Advanced Traffic Management System

Road construction on major freeways is a primary cause of traffic incidents and delays. One approach to improve traffic mobility and safety in construction work zones is to use intelligent transportation systems (ITSs), which can effectively enhance work zone traffic management through advanced surveillance and communication technologies. Although conceptually similar to a traditional advanced traffic management system, a work zone ITS has unique network and communication design requirements. The Palm Beach County, Florida, Interim Traffic Management System (ITMS) was a work zone ITS that was successfully deployed in the summer of 2003. Using Palm Beach County ITMS as an example, this paper provides technical guidelines for applying cutting-edge technologies, such as wireless communication, video compression, and Internet protocol encapsulation, in designing a work zone ITS.

scholarly journals An IOT based Smart Traffic Management System

2021 ◽  
Vol 6 (5) ◽  
pp. 06-11
Author(s):  
Pratik Prakash ◽  
Aadarsh Singh ◽  
Aayush Parasrampuria ◽  
Gargi Sharma
Keyword(s):  
Traffic Management ◽  
Management System ◽  
Traffic Management System ◽  
Smart Traffic

Smart Traffic Management for Collision Avoidance Using V2V

2021 ◽  
Vol 11 (1) ◽  
pp. 01-07
Author(s):  
V. Naren Thiruvalar ◽  
E. Vimal
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Emergency Situation ◽  
Transportation Systems ◽  
Pollution Monitoring ◽  
Inappropriate Use ◽  
V2v Communication ◽  
Use Of Resources ◽  
Smart Traffic

The main objective of this project is to connect the vehicles together and avoid accidents by using V2V Communication. The vehicles are to be connected together by means of DSRC algorithm which is used for transceiving alert messages among the connected vehicles, in case of any emergency situation such as accidents. The Vehicle-to-Vehicle (V2V) and Vehicle-to- Infrastructure (V2I) technologies are specific cases of IoT and key enablers for Intelligent Transportation Systems (ITS). V2V and V2I have been widely used to solve different problems associated with transportation in cities, in which the most important is traffic congestion. A high percentage of congestion is usually presented by the inappropriate use of resources in vehicular infrastructure. In addition, the integration of traffic congestion in decision making for vehicular traffic is a challenge due to its high dynamic behaviour. An increase in the infrastructure growth is a possible solution but turns out to be costly in terms of both time and effort. Various applications that target transport efficiency could make use of the vast information collected by vehicles: safety, traffic management, pollution monitoring, tourist information, etc.

scholarly journals Visualizing the Intellectual Structure and Evolution of Intelligent Transportation Systems: A Systematic Analysis of Research Themes and Trends

2020 ◽  
Vol 12 (21) ◽  
pp. 8759 ◽  
Author(s):  
Nadia Karina Gamboa-Rosales ◽  
José María Celaya-Padilla ◽  
Ana Luisa Hernandez-Gutierrez ◽  
Arturo Moreno-Baez ◽  
Carlos E. Galván-Tejada ◽  
...  
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Management ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Intellectual Structure ◽  
Structure Evolution ◽  
Future Research ◽  
Systematic Analysis ◽  
Main Research ◽  
Research Themes

According to the United Nations, 70% of the world’s population will live in cities by 2050. This growth will be reflected in the demand for better services that should be adjusted to the collective and individual needs of the population. Governments and organizations are working on defining and implementing strategies that will enable them to respond to these challenges. The main challenges are related to transport and its management, considering transportation as a core issue in the economy, sustainability, and development of the regions. In this way, the Intelligent Transportation Systems (ITS) play a key role in the response to these scenarios, being that they are the framework where the new hardware and software tools are integrated, allowing an efficient development of transportation systems management, attending to aspects such as: traffic management, communications between vehicles and infrastructures, and security, among others. Nevertheless, the concept of ITS evolves rapidly so it is necessary to understand its evolution. To do that, the current research develops a thematic analysis of ITS in literature, evaluating the intellectual structure and its evolution using SciMAT, quantifying the main bibliometric performance indicators, and identifying the main research areas, authors, journals, and countries. To this purpose, the publications related to ITS from 1993 to 2019 available in the Web of Science (WoS) Core Collection were retrieved (7649 publications) and analyzed. Finally, one of the main results is the latest research themes map of ITS, considering its intellectual structure, evolution, and relationship. It assists in the definition and implementation of strategies, the identification of the scientific, academic, and business opportunities, and future research lines to consolidate the role of ITS in the new city models.

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