Optimal coordination of variable speed limits to suppress shock waves

被引:281
作者
Hegyi, A [1 ]
De Schutter, B [1 ]
Hellendoorn, J [1 ]
机构
[1] Delft Univ Technol, Delft Syst & Control, NL-2628 CD Delft, Netherlands
关键词
coordinated control; model predictive control (MPC); safe speed limits; shock waves; traffic control; variable speed limits;
D O I
10.1109/TITS.2004.842408
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
When freeway traffic is dense, shock waves may appear. These shock waves result in longer travel times and in sudden large variations in the speeds of the vehicles, which could lead to unsafe situations. Dynamic speed limits can be used to eliminate or at least to reduce the effects of shock waves. However, coordination of the variable speed limits is necessary in order to prevent the occurrence of new shock waves and/or a negative impact on the traffic flows in other locations. In this paper, we present a model predictive control approach to optimally coordinate variable speed limits for freeway traffic with the aim of suppressing shock waves. First, we optimize continuous valued speed limits, such that the total travel time is minimal. Next, we include a safety constraint that prevents drivers from encountering speed limit drops larger than, e.g., 10 km/h. Furthermore, to get a better correspondence between the computed and applied control signals, we also consider discrete speed limits. We illustrate our approach with a benchmark problem.
引用
收藏
页码:102 / 112
页数:11
相关论文
共 36 条
  • [1] Nonlinear optimization for freeway control using variable-speed signaling
    Alessandri, A
    Di Febbraro, A
    Ferrara, A
    Punta, E
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 1999, 48 (06) : 2042 - 2052
  • [2] Allgower F., 1999, Advances in Control. Highlights of ECC'99, P391
  • [3] *AVV TRAFF RES CTR, 2003, DHV MIL INFR BV EIND
  • [4] Breton P, 2002, IEEE 5TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, PROCEEDINGS, P225, DOI 10.1109/ITSC.2002.1041219
  • [5] Some traffic features at freeway bottlenecks
    Cassidy, MJ
    Bertini, RL
    [J]. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 1999, 33 (01) : 25 - 42
  • [6] Traffic density control for automated highway systems
    Chien, CC
    Zhang, YP
    Ioannou, PA
    [J]. AUTOMATICA, 1997, 33 (07) : 1273 - 1285
  • [7] Cremer M., 1979, VERKEHRSFLUSS SCHNEL, V3
  • [8] Neural approximations for feedback optimal control of freeway systems
    Di Febbraro, A
    Parisini, T
    Sacone, S
    Zoppoli, R
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2001, 50 (01) : 302 - 313
  • [9] Fernandez-Camacho E, 1995, Model predictive control in the process industry
  • [10] HARDMAN EJ, 1996, P ROAD TRAFFIC MONIT, V422, P169