Traffic management systems: A classification, review, challenges, and future perspectives
In cities, where the number of vehicles continuously increases faster than the available traffic infrastructure to support them, congestion is a difficult issue to deal with and it becomes even worse in case of car accidents. This problem affects many aspects of the modern society, including economi...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147716683612 |
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| _version_ | 1832559116156928000 |
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| author | Allan M de Souza Celso ARL Brennand Roberto S Yokoyama Erick A Donato Edmundo RM Madeira Leandro A Villas |
| author_facet | Allan M de Souza Celso ARL Brennand Roberto S Yokoyama Erick A Donato Edmundo RM Madeira Leandro A Villas |
| author_sort | Allan M de Souza |
| collection | DOAJ |
| description | In cities, where the number of vehicles continuously increases faster than the available traffic infrastructure to support them, congestion is a difficult issue to deal with and it becomes even worse in case of car accidents. This problem affects many aspects of the modern society, including economic development, traffic accidents, increase in greenhouse emissions, time spent, and health damages. In this context, modern societies can rely on traffic management system to minimize traffic congestion and its negative effects. Traffic management systems are composed of a set of application and management tools to improve the overall traffic efficiency and safety of the transportation systems. Furthermore, to overcome such issue, traffic management system gathers information from heterogeneous sources, exploits such information to identify hazards that may potentially degrade the traffic efficiency, and then provides services to control them. With this question in mind, this article presents a classification, review, challenges, and future perspectives to implement a traffic management system. |
| format | Article |
| id | doaj-art-02178a1a1eeb4819bd6e74e7ee065537 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2017-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-02178a1a1eeb4819bd6e74e7ee0655372025-02-03T01:30:41ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-04-011310.1177/1550147716683612Traffic management systems: A classification, review, challenges, and future perspectivesAllan M de Souza0Celso ARL Brennand1Roberto S Yokoyama2Erick A Donato3Edmundo RM Madeira4Leandro A Villas5Institute of Computing, University of Campinas, Campinas, BrazilUAST, Federal Rural University of Pernambuco, Recife, BrazilUniversidade Tecnológica Federal do Paraná, Cornélio Procópio, BrazilInstitute of Computing, University of Campinas, Campinas, BrazilInstitute of Computing, University of Campinas, Campinas, BrazilInstitute of Computing, University of Campinas, Campinas, BrazilIn cities, where the number of vehicles continuously increases faster than the available traffic infrastructure to support them, congestion is a difficult issue to deal with and it becomes even worse in case of car accidents. This problem affects many aspects of the modern society, including economic development, traffic accidents, increase in greenhouse emissions, time spent, and health damages. In this context, modern societies can rely on traffic management system to minimize traffic congestion and its negative effects. Traffic management systems are composed of a set of application and management tools to improve the overall traffic efficiency and safety of the transportation systems. Furthermore, to overcome such issue, traffic management system gathers information from heterogeneous sources, exploits such information to identify hazards that may potentially degrade the traffic efficiency, and then provides services to control them. With this question in mind, this article presents a classification, review, challenges, and future perspectives to implement a traffic management system.https://doi.org/10.1177/1550147716683612 |
| spellingShingle | Allan M de Souza Celso ARL Brennand Roberto S Yokoyama Erick A Donato Edmundo RM Madeira Leandro A Villas Traffic management systems: A classification, review, challenges, and future perspectives International Journal of Distributed Sensor Networks |
| title | Traffic management systems: A classification, review, challenges, and future perspectives |
| title_full | Traffic management systems: A classification, review, challenges, and future perspectives |
| title_fullStr | Traffic management systems: A classification, review, challenges, and future perspectives |
| title_full_unstemmed | Traffic management systems: A classification, review, challenges, and future perspectives |
| title_short | Traffic management systems: A classification, review, challenges, and future perspectives |
| title_sort | traffic management systems a classification review challenges and future perspectives |
| url | https://doi.org/10.1177/1550147716683612 |
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