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

被引:8
|
作者
Bui, Khac-Hoai Nam [1 ]
Lee, O-Joun [1 ]
Jung, Jason J. [1 ]
Camacho, David [2 ]
机构
[1] Chung Ang Univ, Dept Comp Sci & Engn, Seoul 156756, South Korea
[2] Univ Automa Madrid, Dept Comp Sci, Madrid, Spain
关键词
Connected vehicles; Process synchronization; Intelligent transportation systems; Real-time processing; Intersection management;
D O I
10.1007/978-3-319-40114-0_9
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:77 / 85
页数:9
相关论文
共 50 条
  • [1] On the Cybersecurity of Traffic Signal Control System With Connected Vehicles
    Feng, Yiheng
    Huang, Shihong Ed
    Wong, Wai
    Chen, Qi Alfred
    Mao, Z. Morley
    Liu, Henry X.
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (09) : 16267 - 16279
  • [2] Learning-Based Control of Multiple Connected Vehicles in the Mixed Traffic by Adaptive Dynamic Programming
    Liu, Tong
    Cui, Leilei
    Pang, Bo
    Jiang, Zhong-Ping
    IFAC PAPERSONLINE, 2021, 54 (14): : 370 - 375
  • [3] Traffic Signal Control with Connected Vehicles
    Goodall, Noah J.
    Smith, Brian L.
    Park, Byungkyu
    TRANSPORTATION RESEARCH RECORD, 2013, (2381) : 65 - 72
  • [4] A Self-Adaptive Traffic Light Control System Based on Speed of Vehicles
    Li, Jinyang
    Zhang, Yuanrui
    Chen, Yixiang
    2016 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY COMPANION (QRS-C 2016), 2016, : 382 - 388
  • [5] Multimodal Traffic Light Control with Connected Vehicles: A Deep Reinforcement Learning Approach
    Zhou, Runhao
    Nousch, Tobias
    Adam, Django
    Hirrle, Angelika
    Wang, Meng
    2023 8TH INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS, MT-ITS, 2023,
  • [6] Smart Traffic Light and Dynamic Navigational System for Emergency Vehicles
    Raghu, N.
    Phadke, Aditya
    Kumar, Ravi
    Joshi, Koushik
    SOFT COMPUTING FOR SECURITY APPLICATIONS, ICSCS 2022, 2023, 1428 : 391 - 402
  • [7] Traffic Signal Control for Connected and Non-Connected Vehicles
    Pereira, Andre Maia
    2018 SMART CITY SYMPOSIUM PRAGUE (SCSP), 2018,
  • [8] Connected Cruise and Traffic Control for Pairs of Connected Automated Vehicles
    Guo, Sicong
    Orosz, Gabor
    Molnar, Tamas G. G.
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (11) : 12648 - 12658
  • [9] A GPS Based Traffic Light Pre-emption Control System for Emergency Vehicles
    Eltayeb, Abubakr S.
    Almubarak, Halla O.
    Attia, Tahani Abdalla
    2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONICS ENGINEERING (ICCEEE), 2013, : 724 - 729
  • [10] Simulation-Based Traffic Management System for Connected and Autonomous Vehicles
    Gora, Pawel
    ROAD VEHICLE AUTOMATION 4, 2018, : 257 - 266