基于实际诱导效用最大化的可变信息板优化布设新方法

doi:10.3969/j.issn.0253-2778.2017.04.009

中国科学技术大学学报 ›› 2017, Vol. 47 ›› Issue (4): 342-349.DOI: 10.3969/j.issn.0253-2778.2017.04.009

基于实际诱导效用最大化的可变信息板优化布设新方法

郭义戎，王晓明，王慜，张红

兰州理工大学电气工程与信息工程学院，甘肃兰州 730050

收稿日期:2016-08-28 修回日期:2016-12-08 出版日期:2017-04-30 发布日期:2017-04-30
通讯作者: 王晓明
作者简介:郭义戎，男，1982年生，博士生. 研究方向：智能交通. E-mail:guo_yirong@163.com
基金资助:
甘肃省高校科研项目（2015B-031），甘肃省科技支撑计划（1304GKCA023）资助.

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

GUO Yirong, WANG Xiaoming, WANG Min, ZHANG Hong

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

Received:2016-08-28 Revised:2016-12-08 Online:2017-04-30 Published:2017-04-30

摘要/Abstract

摘要： 为了合理地对城市交通流进行诱导，在现有诱导效用最大化模型的基础上，提出了一种新的基于实际诱导效用最大化的可变信息板优化布设方法.该方法主要是对原有的效用最大化模型进行改进，通过对可变信息板诱导效用的复杂性进行分析，增加了重复诱导的效用与浪费的效用参与实际效用的计算，并对诱导覆盖率和诱导重复率进行重新定义，最后设计了基于贪婪算法的信息板优化布设的函数求解方法.通过36个路段的网络实例测试，验证了该方法简单有效，可以通过分析交通流的复杂状况对信息板进行优化配置，在区域道路复杂状况和交通需求点相对确定的条件下，提高整个系统的诱导效率，因而更符合实际交通流诱导的需要.

关键词: 可变信息板, 诱导效用, 布局优化函数, 贪婪算法, 重复诱导的效用

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.

Key words: variable message sign, guidance effect, layout optimization function, greedy algorithm

中图分类号:

TG156

郭义戎，王晓明，王慜，张红. 基于实际诱导效用最大化的可变信息板优化布设新方法[J]. 中国科学技术大学学报, 2017, 47(4): 342-349.

GUO Yirong, WANG Xiaoming, WANG Min, ZHANG Hong. A new method for variable message sign layout based on the actual guidance effect maximization[J]. Journal of University of Science and Technology of China, 2017, 47(4): 342-349.

参考文献

［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.

基于实际诱导效用最大化的可变信息板优化布设新方法

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

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