Incident-Aware Distributed Signal Systems in Self-Organised Traffic Control Systems

被引:3
|
作者
Tomforde, Sven [1 ]
Ohl, Yanneck [1 ]
Thomsen, Ingo [1 ]
机构
[1] Univ Kiel, Intelligent Syst, D-24118 Kiel, Germany
关键词
Traffic Management; Organic Traffic Control; Progressive Signal Systems; Green Waves; Incident Detection; Self-Organisation; REAL-TIME; NETWORKS;
D O I
10.5220/0011705900003479
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Traffic congestion is a major contributor to carbon dioxide emissions and causes air pollution which poses various health risks. In response to such challenges, traffic management systems are becoming increasingly intelligent and adaptive. Particularly self-organised approaches such as the Organic Traffic Control (OTC) system offer additional advantages such as efficiency, scalability, and robustness. In addition to the local and traffic-dependent switching of traffic signals, a central task of such a system is the coordinated adaptation of traffic lights by means of Progressive Signal Systems. In this paper, we present a novel approach for establishing decentralised PSSs that takes into account recognised incidents and thus proactively ensures optimised traffic flows. We develop three different strategies and evaluate them using realistic simulations.
引用
收藏
页码:15 / 26
页数:12
相关论文
共 50 条
  • [1] Distributed Collaborative Incident Validation in a Self-Organised Traffic Control System
    Thomsen, Ingo
    Brennecke, Torben
    Tomforde, Sven
    PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON VEHICLE TECHNOLOGY AND INTELLIGENT TRANSPORT SYSTEMS, VEHITS 2023, 2023, : 152 - 159
  • [2] Adapting Signal Timings to Automated Incident Alarms within a Self-organised Traffic Control System
    Sommer, Matthias
    Haehner, Joerg
    VEHITS: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON VEHICLE TECHNOLOGY AND INTELLIGENT TRANSPORT SYSTEMS, 2017, : 203 - 210
  • [3] Reflection in self-organised systems
    Lynch, Maureen
    Johan, Carmen
    INFORMATION SYSTEMS FOUNDATIONS: CONSTRUCTING AND CRITICISING, 2005, : 99 - 113
  • [4] Incident-aware Duplicate Ticket Aggregation for Cloud Systems
    Liu, Jinyang
    He, Shilin
    Chen, Zhuangbin
    Li, Liqun
    Kang, Yu
    Zhang, Xu
    He, Pinjia
    Zhang, Hongyu
    Lin, Qingwei
    Xu, Zhangwei
    Rajmohan, Saravan
    Zhang, Dongmei
    Lyu, Michael R.
    2023 IEEE/ACM 45TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ICSE, 2023, : 2299 - 2311
  • [5] A Concept for Collaborative Incident Validation in a Self-organised Traffic Management System
    Tomforde, Sven
    Thomsen, Ingo
    VEHITS: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON VEHICLE TECHNOLOGY AND INTELLIGENT TRANSPORT SYSTEMS, 2022, : 316 - 323
  • [6] Self-Organised Criticality in Astrophysical Accretion Systems
    Dendy, R.O.
    Helander, P.
    Tagger, M.
    Physica Scripta T, 82 : 133 - 136
  • [7] Cluster size distribution in self-organised systems
    Murri, R
    Pinto, N
    PHYSICA B-CONDENSED MATTER, 2002, 321 (1-4) : 404 - 407
  • [8] Modelling and simulating self-organised critical systems
    Giroux, S
    Marcenac, P
    Quinqueton, J
    Grasso, JR
    MODELLING AND SIMULATION 1996, 1996, : 1072 - 1075
  • [9] Self-organised criticality in astrophysical accretion systems
    Dendy, RO
    Helander, P
    Tagger, M
    PHYSICA SCRIPTA, 1999, T82 : 133 - 136
  • [10] On the role of self-organised criticality in accretion systems
    Dendy, RO
    Helander, P
    Tagger, M
    ASTRONOMY & ASTROPHYSICS, 1998, 337 (03) : 962 - 965