A Resilient Real-Time Traffic Control System

被引:0
|
作者
Serageldin, Ahmed
Krings, Axel
机构
关键词
D O I
10.1109/ITSC.2015.461
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
This paper describes a resilient control system operating in a critical infrastructure. The system is a real-time weather responsive system that accesses weather information that provides near-real-time atmospheric and pavement observation data that is used to adapt traffic signal timing to increase safety. Since the system controls part of a safety critical application survivability and resilience considerations must be an integral part of the system architecture. In order to provide adaptation to system behavior as the result of faults or malicious acts an architecture is presented that monitors itself and adapts its behavior in real-time. The main theoretical contributions are the combination and extension of approaches introduced in previous work. The theory of certifying executions is extended by three concepts: the detection of dependency violations, exceptions triggers, and sensor analysis are considered; a dual-bound threshold approach for detecting off-nominal executions is introduced; profiling is augmented with the concept of behavior sets. Extensive evidence of the effectiveness of the solutions based on a one-year observation of the system in action is presented.
引用
收藏
页码:2869 / 2876
页数:8
相关论文
共 50 条
  • [1] Operational real-time urban traffic control system
    Boillot, F
    Pierrelee, JC
    Lenoir, F
    Sellam, S
    [J]. TRANSPORTATION SYSTEMS 1997, VOLS 1-3, 1997, : 603 - 607
  • [2] Design of a Multiagent System for Real-Time Traffic Control
    Vilarinho, Cristina
    Tavares, Jose Pedro
    Rossetti, Rosaldo J. F.
    [J]. IEEE INTELLIGENT SYSTEMS, 2016, 31 (04) : 68 - 80
  • [3] The Design of the Traffic Light Real-time Control System
    Gu, He
    Wang, Le-le
    Li, Nian-feng
    [J]. 2015 INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS: TECHNIQUES AND APPLICATIONS (EETA 2015), 2015, : 244 - 248
  • [4] REAL-TIME RESILIENT CONTROL FOR STOCHASTIC PRODUCTION SYSTEM ENERGY EFFICIENCY
    Arinez, Jorge
    Zou, Jing
    Chang, Qing
    Lei, Yong
    [J]. PROCEEDINGS OF THE ASME 12TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE - 2017, VOL 4, 2017,
  • [5] Real-Time Adaptive Traffic Control System For Smart Cities
    Shankaran, Shyam R.
    Rajendran, Logesh
    [J]. 2021 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI), 2021,
  • [6] Real-Time Traffic Light Management System with Manual Control
    Kataria, Pratham
    Rani, Anshul
    [J]. 2019 3RD INTERNATIONAL CONFERENCE ON RECENT DEVELOPMENTS IN CONTROL, AUTOMATION & POWER ENGINEERING (RDCAPE), 2019, : 419 - 424
  • [7] Integration of dynamic traffic assignment with real-time traffic adaptive control system
    Gartner, NH
    Stamatiadis, C
    [J]. TRAFFIC FLOW THEORY: SIMULATION MODELS, MACROSCOPIC FLOW RELATIONSHIPS, AND FLOW ESTIMATION AND PREDICTION, 1998, (1644): : 150 - 156
  • [8] A real-time traffic simulation system
    Chronopoulos, AT
    Johnston, CM
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 1998, 47 (01) : 321 - 331
  • [9] SIMULATION OF TELEPHONE TRAFFIC FOR A REAL-TIME NETWORK CONTROL EXPERT SYSTEM
    STJACQUES, M
    STEVENS, D
    [J]. ADVANCES IN AI AND SIMULATION, 1989, 20 : 243 - 249
  • [10] Real-Time Implementation of Adaptive Traffic Control System using IoT
    Shakir, Mustafa
    Aslam, Sohaib
    Wali, Syed Abdul
    Zaman, Fakharul
    Qaiser, Muhammad
    Usman, Faisal
    [J]. 2021 7TH INTERNATIONAL CONFERENCE ON ENGINEERING AND EMERGING TECHNOLOGIES (ICEET 2021), 2021, : 247 - 251