Remote simulation to evaluate real-time traffic control strategies

被引:0
|
作者
Lucas, D.E. [1 ]
Mirchandani, P.B. [1 ]
Head, K.L. [1 ]
机构
[1] ATLAS Research Center, University of Arizona, P.O. Box 210020, Tucson, AZ 85721-0020, United States
关键词
Adaptive control systems - Computer simulation - Distributed parameter control systems - Hierarchical systems - Optimal control systems - Real time systems;
D O I
10.3141/1727-12
中图分类号
学科分类号
摘要
Simulation is a valuable tool for evaluating the effects of various changes in a transportation system. This is especially true in the case of real-time traffic-adaptive control systems, which must undergo extensive testing in a laboratory setting before being implemented in a field environment. Various types of simulation environments are available, from software-only to hardware-in-the-loop simulations, each of which has a role to play in the implementation of a traffic control system. The RHODES (real-time hierarchical optimized distributed effective system) real-time traffic-adaptive control system was followed as it progressed from a laboratory project toward actual field implementation. The traditional software-only simulation environment and extensions to a hardware-in-the-loop simulation are presented in describing the migration of RHODES onto the traffic controller hardware itself. In addition, a new enhancement to the standard software-only simulation that allows remote access is described. The enhancement removes the requirement that both the simulation and the traffic control scheme reside locally. This architecture is capable of supporting any traffic simulation package that satisfies specific input-output data requirements. This remote simulation environment was tested with several different types of networks and was found to perform in the same manner as its local counterpart. Remote simulation has all of the advantages of its local counterpart, such as control and flexibility, with the added benefit of distribution. This remote environment could be used in many different ways and by different groups or individuals, including state or local transportation agencies interested in performing their own evaluations of alternative traffic control systems.
引用
收藏
页码:95 / 100
相关论文
共 50 条
  • [1] Remote simulation to evaluate real-time traffic control strategies
    Lucas, DE
    Mirchandani, PB
    Head, KL
    ADVANCED TRAFFIC MANAGEMENT SYSTEMS AND AUTOMATED HIGHWAY SYSTEMS 2000: HIGHWAY OPERATIONS, CAPACITY, AND TRAFFIC CONTROL, 2000, (1727): : 95 - 100
  • [2] Multivariate optimization strategies for real-time traffic control signals
    Memon, Ghulam Q.
    Bullen, A.G.R.
    Transportation Research Record, 1996, (1554): : 36 - 42
  • [3] Real-Time Digital Simulation of Microgrid Control Strategies
    Keerthisinghe, Chanaka
    Kirschen, Daniel S.
    2020 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2020,
  • [4] Trends in Real-time Traffic Simulation
    Pell, Andreas
    Meingast, Andreas
    Schauer, Oliver
    WORLD CONFERENCE ON TRANSPORT RESEARCH - WCTR 2016, 2017, 25 : 1477 - 1484
  • [5] A real-time traffic simulation system
    Chronopoulos, AT
    Johnston, CM
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 1998, 47 (01) : 321 - 331
  • [6] Pseudo real-time evaluation of adaptive traffic control strategies using hardware-in-loop simulation
    Kwon, E
    Kim, S
    Kwon, TM
    IECON'01: 27TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-3, 2001, : 1910 - 1914
  • [7] A real-time simulation tool for real-time control
    Kwon, WH
    Kim, KB
    Moon, SY
    Choi, SG
    Kim, YS
    ALGORITHMS AND ARCHITECTURES FOR REAL-TIME CONTROL 1997, 1997, : 325 - 329
  • [8] An Online Traffic Simulation Modeling Framework for Real-Time Road Traffic Control and Management
    Qin, Yuanqi
    Jin, Junchen
    Hua, Wen
    Dai, Xingyuan
    Wang, Xiao
    2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2022, : 2175 - 2181
  • [9] SIMULATION OF TELEPHONE TRAFFIC FOR A REAL-TIME NETWORK CONTROL EXPERT SYSTEM
    STJACQUES, M
    STEVENS, D
    ADVANCES IN AI AND SIMULATION, 1989, 20 : 243 - 249
  • [10] Real-time traffic simulation with a microscopic model
    Maroto, Joaquin
    Delso, Eduardo
    Felez, Jesus
    Cabanellas, Jose Ma.
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2006, 7 (04) : 513 - 527