Abstract We examined the selection of emergency evacuation routes in an urban traffic network with dynamic information. A method of selecting emergency evacuation routes was proposed based on the uncertainty characteristics of urban traffic networks and the demand of urban disaster emergency management for an evacuation route selection and given the developments in advanced traveler information subsystems. The approach involves planning evacuation route schemes in an offline module and updating them in an online module with real-time traffic information. In the offline module, a model of evacuation route planning based on time-dependent networks was established by using prior knowledge of traffic network statistics. A synthetic algorithm using the successive shortest path flow and shortest path in the non-first-in-first-out time-dependent network was adopted in the concrete optimization course to obtain a solution. In the online module, an emergency evacuation route model based on real-time traffic information was established with forecast road impedance by nonparametric regression. The Floyd algorithm was adopted in the concrete optimization course, and an updated scheme of evacuation routes was implemented. The results, which were analyzed by simulation, indicate that the principle and method are correct and feasible.
Fund:Supported by the National Natural Science Foundation of China (No.50808064);the Natural Science Foundation of Hebei Province of China (No.E2011202073);and the Key Program of Tianjin Municipal Science and Technology Support Plan (No.08ZCKFSF01100)
Corresponding Authors:
PANG Ming-bao, pmbpgy@sina.com
E-mail: pmbpgy@sina.com
PANG Ming-bao,REN Sha-sha,ZHANG Jing-jing. Selecting Emergency Evacuation Routes in Urban Dynamic Traffic Network[J]. Journal of Highway and Transportation Research and Development, 2013, 7(1): 75-81.
[1] COVA T J, JOHNSON J P. A Network Flow Model for Lane-based Evacuation Routing[J]. Transportation Research Part A:Policy and Practice, 2003, 37(7):579-604.
[2] HAMZA-LUP G L, HUA K A, PENG R. Leveraging E-transportation in Real-time Traffic Evacuation Management[J]. Electronic Commerce Research and Applications, 2007, 6(4):413-424.
[3] CHEN Yueming, XIAO Deyun. Emergency Evacuation Model and Algorithms[J]. Journal of Transportation Systems Engineering and Information Technology, 2008, 8(6):96-100.
[4] GAO Mingxia, HE Guoguang. Using Minimum Cost Flow Model to Optimize Evacuation Routes Considering Delays and Capacity at Intersections[J]. System Engineering, 2006, 24(9):6-10. (in Chinese)
[5] SAADATSERESHT M, MANSOURIAN A, TALEAI M. Evacuation Planning Using Multi-objective Evolutionary Optimization Approach[J]. European Journal of Operational Research, 2009, 198:305-314.
[6] GAO Mingxia, HE Guoguang. Synthetical Optimization Model of Optimal Evacuation Routes and Departure Time Choice in a Dynamic System[J]. System Engineering, 2009, 27(6):73-77. (in Chinese)
[7] YANG Zhaosheng, LI Quanxi. Algorithm of Dynamic Vehicle Path Selection Based on the Urban Traffic Control System[J]. Journal of Highway and Transportation Research and Development, 1999, 16(1):33-36. (in Chinese)
[8] PANG Mingbao, DONG Fang, REN Shasha. Study on Emergency Evacuation Routes of Urban Traffic Based on the Time Dependent Network[J]. Journal of Highway and Transportation Research and Development, 2011, 28(1):100-106. (in Chinese)
[9] PEL A J, HOOGENDOORN S P, BLIEMER M C. Evacuation Modeling Including Traveler Information and Compliance Behavior[C]//First International Conference on Evacuation Modeling and Management. Amsterdam:Procedia Engineering 3, 2010:101-111.
[10] SHI Long, XIE Qiyuan, CHENG Xudong, et al. Developing a Database for Emergency Evacuation Model[J]. Building and Environment, 2009, 44:1724-1729.
[11] TANIGUCHI E, SHIMAMOTO H. Intelligent Transportation System Based on Dynamic Vehicle Routing and Scheduling with Variable Travel Times[J]. Transportation Research Part C, 2004, 12:235-250.
[12] SMITH B L, WILLIAMS B M, OSWALD R K. Comparison of Parametric and Nonparametric Models for Traffic Flow Forecasting[J]. Transportation Research Part C, 2002, 10:303-321.
[13] ZHANG Xiaoli, HE Guoguang, LU Huapu. Short-term Traffic Flow Forecasting Based on K-nearest Neighbors Non-parametric Regression[J]. 2009, 24(2):178-183. (in Chinese)
[14] GODFREY G A, POWELL W B. An Adaptive Dynamic Programming Algorithm for Dynamic Fleet Management:Single Period Travel Times[J]. Transportation Science, 2002, 36(1):21-39.