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Dynamic Traffic Light Control System Based on Process Synchronization Among Connected Vehicles

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 476)

Abstract

Vehicular traffic is tremendously increasing around the world, especially in large urban areas. The resulting congestion has become a key issue and emerging research topic to transportation specialist and decision makers. In this study, inspired by recent advanced vehicle technologies, we take into account in improving traffic flow in real-time problem. In order to solve the problem, we propose a new approach to manage traffic flow at the intersection in real-time via controlling by traffic light scheduling. In particular, the proposed method is based on process synchronization theory and connected vehicle technology where each vehicle is able to communicate with others. The traffic deadlock is also taken into consideration in case of high traffic volume. The simulation shows the potential results comparing with the existing traffic management system.

Keywords

  • Connected vehicles
  • Process synchronization
  • Intelligent transportation systems
  • Real-time processing
  • Intersection management

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  • DOI: 10.1007/978-3-319-40114-0_9
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Correspondence to Jason J. Jung .

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Bui, KH.N., Lee, OJ., Jung, J.J., Camacho, D. (2016). Dynamic Traffic Light Control System Based on Process Synchronization Among Connected Vehicles. In: , et al. Ambient Intelligence- Software and Applications – 7th International Symposium on Ambient Intelligence (ISAmI 2016). ISAmI 2016. Advances in Intelligent Systems and Computing, vol 476. Springer, Cham. https://doi.org/10.1007/978-3-319-40114-0_9

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  • DOI: https://doi.org/10.1007/978-3-319-40114-0_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40113-3

  • Online ISBN: 978-3-319-40114-0

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