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区域高速公路网络交通事件传感器布设方法研究 被引量:4

Study on Deployment of Traffic Incident Detectors for Regional Expressway Network
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摘要 针对如何使用有限的传感器而获得最大的事件检测效益的问题,依据区域高速公路网络拓扑特点,充分利用匝道以及出入口的重要特性,以常规的最短路径算法为基础研究了一种交通事件传感器的优化布设方法,以高速公路网络行程时间标准差作为优化目标,在充分利用现有资源前提下,分别布设和优化路段和出入口事件检测器,形成两层结构的事件检测传感器网络体系。并以上海市高速公路网为例进行了实例应用分析。结果表明,依据合适的优化方法可以确定传感器最佳布设位置和数量,同时结合高效的交通事件检测算法,可以全面提升交通事件检测技术。 The problem that how to get maximum effect of traffic incident detection with limited detectors was discussed. The characters of regional expressway network topology, ramps and exit/entries were considered. The commonly used shortest path algorithm was applied to optimize detectors deployment. The standard deviation of travel time was selected to be optimization objective. In full use of existing resources, deployment and optimization for link and exit/entry traffic incident detectors were studied respectively, and a double-layer structure of event detection sensor networks was created. The application of this method to the expressway network of Shanghai shows that (1) appropriate optimized theory can be used to determine the optimal position and quantity of detectors; (2) transportation event detection technology can be advanced with efficient detecting algorithm.
出处 《公路交通科技》 CAS CSCD 北大核心 2010年第11期143-148,共6页 Journal of Highway and Transportation Research and Development
关键词 交通工程 优化布设 行程时间标准差 路网拓扑 传感器 交通事件 traffic engineering deployment optimization standard deviation of travel time road network topology detector traffic incident
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  • 1MOHAMED A A, ANURAG P. Crash Data Analysis Collective vs. Individual Crash Level Approach [ J ] Journal of Safety Research, 2007, 38:581 -587.
  • 2陈扶崑,吴中,鲍业辉.高速公路交通事件检测算法及固定检测器布设方案[R/OL].南京:河海大学,2008.2008-10-29[2010-06-20].http://www.paper789.com/paper_usi75b/.
  • 3裴玉龙,刘博航,徐慧智.一种交通量检测设备布设方法的研究[J].公路交通科技,2007,24(11):100-104. 被引量:4
  • 4冮龙晖,姜桂艳,张晓东,王江峰.智能运输系统交通传感器数据的筛选与检验[J].吉林大学学报(工学版),2004,34(1):122-126. 被引量:12
  • 5HU Shouren, SRINIVAS P, CHU C H. Identification of Vehicle Sensor Locations for Link-based Network Traffic Applications [ J]. Transportation Research Part B, 2009,43:873 -894.
  • 6DANCZYK A, LIU X H. A Mixed- integer Linear Program for Optimizing Sensor Locations along Freeway Corridors [ J/OL ]. Transportation Research PartB: Methodological, 2010, doi: 10. 1016/j. trb. 2010. 04. 002 [ 2010 - 08 - 23 ]. http: //www. sciencedirect. com/science? _ ob = ArticleURL&_ udi = B6V99 - 501CFXM - 1&_ user = 10&_ coverDate = 05% 2F07% 2F2010&_ rdoc = 1&_ fmt = high&_ orig = search&_ origin = search&_ sort = d&_ docanchor = &view = c&_ acct = O000050221&_ version = 1&_ urlVersion = 0&_ userid = 10&md5 = 35a810de85cbea374h0bbeb1bf7dc1c3&searchtype = a.
  • 7LI Xiaopeng, OUYANG Yanfeng. Reliable Sensor Deployment for Network Traffic Surveillance [ J/OL]. Transportation Research Part B : Methodological, 2010, doi: 10. 1016/j. trb. 2010. 04. 005 [2010- 08- 23]. http: //www. sciencedirect. com/science?_ ob = ArticleURL& udi = B6V99 - 501CFXM - 2&_ user = 10&_ coverDate = 05% 2F07% 2F2010& rdoc = 1&_ fmt = high&_ orig = search&_ origin = search&_ sort = d&_ docanchor -- &view = c&_ acct = C000050221&_ version = 1&_ urlVersion = 0&_ userid = 10&md5 = 67b992aa7cab39078bf22b3beba607e4&searchtype = a.
  • 8陈雨人,陈少军.包含立交匝道信息的高速公路网络复杂拓扑结构[J].同济大学学报(自然科学版),2010,38(2):230-237. 被引量:5

二级参考文献22

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同被引文献27

  • 1方旭华,方健红.高速公路监控系统现状及发展趋势[J].浙江交通职业技术学院学报,2003,4(4):1-4. 被引量:15
  • 2高建立,薛飞.高速公路上检测器合理间距布设探讨[J].河南交通科技,1994,14(3):41-44. 被引量:3
  • 3唐海雯.实时监控 及时处置 为排堵保畅做贡献[J].交通与运输,2006(2):10-11. 被引量:1
  • 4王欣,李文权,王炜.基于驾驶行为共性的回波速度解释及仿真[J].东南大学学报(自然科学版),2007,37(4):691-694. 被引量:2
  • 5Payne H J,Helfenbein E D,Knobel H C. Developmentand testing of incident detection algorithms[R]. Wash-ington ,DC, USA: Federal Highway Administration,1976.
  • 6Abuelela M,Olariu S. Automatic incident detection inVANETs: a Bayesian approach [ C ] //IEEE VehicularTechnology Conference. Barcelona, Spain, 2009:1 -5.
  • 7Moynihan G P,Fonseca D J, Brumback T,et al. De-sign of a decision support system for road incident detec-tion and characterization [ C ] //Proceedings of the 2009ASCE International Workshop on Computing in Civil En-gineering. Austin, USA, 2009:613 —322.
  • 8Jeong Y-S, Castro-Neto M, Jeong M K,et al. A wave-let-based freeway incident detection algorithm withadapting threshold parameters [ J]. Transportation Re-search Part C,2009,19 (1): 1 - 19.
  • 9Ritchie S G, Cheu R L. Simulation of freeway incidentdetection using artificial neural networks [ J ] . Transpor-tation Research Part C, 1993, 1(3) :203 -217.
  • 10Jian L,Shuyan C, Wei W. A hybrid model of partialleast squares and neural network for traffic incident de-tection [J]. Expert Systems with Applications, 2012,39(5) : 4775-4784.

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