ISSN 0253-2778

CN 34-1054/N

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A new method for variable message sign layout based on the actual guidance effect maximization

  • College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China

Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2017.04.009
  • Received Date: 28 August 2016
  • Rev Recd Date: 08 December 2016
  • Publish Date: 30 April 2017
    Abstract

  • Abstract

    In order to induce the urban traffic flow properly, a new optimization layout method for variable message signs based on maximization of the actual guidance effect was proposed. The repeated induction utility and the wasted induction utility were added in the calculation of the actual utility, which improved utility of repeated induction and calculation of the wasteful utility participation in actual utility. This method also redefined inductive coverage rate and inductive repetition rate. Finally, a method of solving the optimum layout function of message sign based on the greedy algorithm was designed. Evidence collected from 36 road’ segments verify that the method is simple and efficient, and capable of optimizing the allocation of the plate through the analysis of complex situations of traffic flow to increase the inductive efficiency of the whole system. Hence, it is more suitable for the needs of the actual traffic flow guidance.

    Abstract

    In order to induce the urban traffic flow properly, a new optimization layout method for variable message signs based on maximization of the actual guidance effect was proposed. The repeated induction utility and the wasted induction utility were added in the calculation of the actual utility, which improved utility of repeated induction and calculation of the wasteful utility participation in actual utility. This method also redefined inductive coverage rate and inductive repetition rate. Finally, a method of solving the optimum layout function of message sign based on the greedy algorithm was designed. Evidence collected from 36 road’ segments verify that the method is simple and efficient, and capable of optimizing the allocation of the plate through the analysis of complex situations of traffic flow to increase the inductive efficiency of the whole system. Hence, it is more suitable for the needs of the actual traffic flow guidance.
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    • References(23)
  • [1]
    熊雪萍. VMS交通诱导信息协同发布策略生成方法研究[D]. 北京：北京交通大学, 2013.
    [2]
    梅振宇, 项贻强, 陈峻, 等. 城市交通流诱导信息板配置优化方法[J]. 交通运输工程学报, 2007, 7(5): 88-92.
    [3]
    侯晓宇,刘文峰,杨毅.基于VMS的图形信息现状研究[J]. 公路交通科技, 2012, 29(7): 118-123.
    [4]
    文孟飞. 城市智能交通系统交通流协同优化与诱导关键技术研究[D]. 长沙：中南大学，2013.
    [5]
    CHIU Y C, HUYNH N. Location configuration design for dynamic message signs under stochastic incident and ATIS scenario[J]. Transportation Research Part C: Emerging Technologies, 2007, 15(1): 33-50.
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    牛树云,刘浩,冯建刚,等. 基于模糊约束的可变信息板点位布设优化[J]. 系统工程, 2010, 28(3): 98-102.
    NIU Shuyun, LIU Hao, FENG Jiangang, et al. The optimization of the planning and positioning of VMS based on fuzzy constrained conditions[J]. Systems Engineering, 2010, 28(3): 98-102.
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    李亮. 基于网络拓扑的可变信息板选址方法研究[D]. 北京: 北京交通大学, 2012.
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    HUYNH N, CHIU Y C, MAHMASSANI H S. Finding near-optimal locations for variable message signs for real-time network traffic management[J]. Journal of the Transportation Research Board, 2003, 1856(3): 34-53.
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    JI Y J, TANG D N, HE B H. Evaluating the effectiveness of variable message signs location scheme in parking guidance system[J]. Procedia: Social and Behavioral Sciences, 2013, 96(6): 2051-2057.
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    WANG J J, WU Q. Study on multi-objective optimization model for VMS layout on expressways[J]. Applied Mechanics and Materials, 2013, 361-363: 2012-2015.
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    LEE C W, KIM S W, LEE S B. Optimal check up and replacement periods of variable message signs: A case of the Seoul metropolitan transportation center[J]. Journal of Advanced Transportation, 2011, 45(3): 173-185.
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    SHANG H Y, HUANG H J, GAO Z Y. Impacts of variable message signs on traffic congestion[J]. Science in China Series E: Technological Sciences, 2009, 52(2): 477-483.
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    SHANG H Y, HUANG H J, GAO Z Y. Design real-time traffic information by cell transmission model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(2): 234-238.
    [14]
    ERKE A. Effects of route guidance variable message signs (VMS) on driver behavior[J]. Transportation Research. Part F: Traffic Psychology and Behaviour, 2007, 10(6): 447-457.
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    ZHUGE C X, SHAO C F, ZHENG C Q, et al. Evaluation system for evaluating the VMS guidance effect[J]. Journal of Software, 2013, 8(5): 1063-1067.
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    WEI L Y, XIN F F. Effects of variable message sign guidance information on drivers behavior with RP survey[C]// Proceedings of 4th International Conference on Transportation Engineering. Chengdu, China: American Society of Civil Engineers, 2013: 2320-2326.
    [18]
    SONG Chuan. Bi-level programming models applied in urban transportation network design problems[J]. Advanced Materials Research, 2013, 791(11): 1172-1175.
    [19]
    WEI M, SUN B, JIN W Z. A bi-level programming model for uncertain regional bus scheduling problems[J]. Journal of Transportation Systems Engineering and Information Technology, 2013, 13(4): 106-112.
    [20]
    DOAN K, UKKUSURI S V. On the holding-back problem in the cell transmission based dynamic traffic assignment models[J]. Transportation Research Part B: Methodological, 2012, 46(9): 1218-1238.
    [22]
    SUMALEE A, ZHONG R X, PAN T L, et al. Stochastic cell transmission model (SCTM): A stochastic dynamic traffic model for traffic state surveillance and assignment[J]. Transportation Research Part B: Methodological, 2011, 45(3): 507-533.
    [23]
    ZHAO L, PENG X S, LI L, et al. A fast signal timing algorithm for individual oversaturated intersections[J]. IEEE Transactions on Intelligent Transportation Systems, 2011, 12(1): 280-283.
    [24]
    KRASEMANN J T. Greedy algorithm for railway traffic rescheduling during disturbances: A Swedish case[J]. IET Intelligent Transport Systems, 2010, 4(4): 375-386.
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    [1]
    熊雪萍. VMS交通诱导信息协同发布策略生成方法研究[D]. 北京：北京交通大学, 2013.
    [2]
    梅振宇, 项贻强, 陈峻, 等. 城市交通流诱导信息板配置优化方法[J]. 交通运输工程学报, 2007, 7(5): 88-92.
    [3]
    侯晓宇,刘文峰,杨毅.基于VMS的图形信息现状研究[J]. 公路交通科技, 2012, 29(7): 118-123.
    [4]
    文孟飞. 城市智能交通系统交通流协同优化与诱导关键技术研究[D]. 长沙：中南大学，2013.
    [5]
    CHIU Y C, HUYNH N. Location configuration design for dynamic message signs under stochastic incident and ATIS scenario[J]. Transportation Research Part C: Emerging Technologies, 2007, 15(1): 33-50.
    [6]
    牛树云,刘浩,冯建刚,等. 基于模糊约束的可变信息板点位布设优化[J]. 系统工程, 2010, 28(3): 98-102.
    NIU Shuyun, LIU Hao, FENG Jiangang, et al. The optimization of the planning and positioning of VMS based on fuzzy constrained conditions[J]. Systems Engineering, 2010, 28(3): 98-102.
    [7]
    李亮. 基于网络拓扑的可变信息板选址方法研究[D]. 北京: 北京交通大学, 2012.
    [8]
    HUYNH N, CHIU Y C, MAHMASSANI H S. Finding near-optimal locations for variable message signs for real-time network traffic management[J]. Journal of the Transportation Research Board, 2003, 1856(3): 34-53.
    [9]
    JI Y J, TANG D N, HE B H. Evaluating the effectiveness of variable message signs location scheme in parking guidance system[J]. Procedia: Social and Behavioral Sciences, 2013, 96(6): 2051-2057.
    [10]
    WANG J J, WU Q. Study on multi-objective optimization model for VMS layout on expressways[J]. Applied Mechanics and Materials, 2013, 361-363: 2012-2015.
    [11]
    LEE C W, KIM S W, LEE S B. Optimal check up and replacement periods of variable message signs: A case of the Seoul metropolitan transportation center[J]. Journal of Advanced Transportation, 2011, 45(3): 173-185.
    [12]
    SHANG H Y, HUANG H J, GAO Z Y. Impacts of variable message signs on traffic congestion[J]. Science in China Series E: Technological Sciences, 2009, 52(2): 477-483.
    [13]
    SHANG H Y, HUANG H J, GAO Z Y. Design real-time traffic information by cell transmission model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(2): 234-238.
    [14]
    ERKE A. Effects of route guidance variable message signs (VMS) on driver behavior[J]. Transportation Research. Part F: Traffic Psychology and Behaviour, 2007, 10(6): 447-457.
    [15]
    花伟, 林柏梁. 基于可变情报板发布车流诱导信息的研究[J]. 交通运输系统工程与信息, 2006, 6(4): 34-36.
    [16]
    ZHUGE C X, SHAO C F, ZHENG C Q, et al. Evaluation system for evaluating the VMS guidance effect[J]. Journal of Software, 2013, 8(5): 1063-1067.
    [17]
    WEI L Y, XIN F F. Effects of variable message sign guidance information on drivers behavior with RP survey[C]// Proceedings of 4th International Conference on Transportation Engineering. Chengdu, China: American Society of Civil Engineers, 2013: 2320-2326.
    [18]
    SONG Chuan. Bi-level programming models applied in urban transportation network design problems[J]. Advanced Materials Research, 2013, 791(11): 1172-1175.
    [19]
    WEI M, SUN B, JIN W Z. A bi-level programming model for uncertain regional bus scheduling problems[J]. Journal of Transportation Systems Engineering and Information Technology, 2013, 13(4): 106-112.
    [20]
    DOAN K, UKKUSURI S V. On the holding-back problem in the cell transmission based dynamic traffic assignment models[J]. Transportation Research Part B: Methodological, 2012, 46(9): 1218-1238.
    [22]
    SUMALEE A, ZHONG R X, PAN T L, et al. Stochastic cell transmission model (SCTM): A stochastic dynamic traffic model for traffic state surveillance and assignment[J]. Transportation Research Part B: Methodological, 2011, 45(3): 507-533.
    [23]
    ZHAO L, PENG X S, LI L, et al. A fast signal timing algorithm for individual oversaturated intersections[J]. IEEE Transactions on Intelligent Transportation Systems, 2011, 12(1): 280-283.
    [24]
    KRASEMANN J T. Greedy algorithm for railway traffic rescheduling during disturbances: A Swedish case[J]. IET Intelligent Transport Systems, 2010, 4(4): 375-386.
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