旅游高峰期双目标交通拥堵疏散路径优选方法
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摘要
随着私家车出行比例日益增长,景区旅游交通拥堵现象严重,交通事故频发,高效、合理的交通拥堵疏散路径优化方法是缓解这一问题的根本途径。本文考虑交通拥堵环境下游客路径选择心理,将疏散路线的复杂度最小作为优化目标之一,建立了基于路线复杂度与疏散时间的双目标拥堵疏散路径优选模型,将疏散路线的复杂度定义为疏散路径总长度,认为疏散区域路网中各路段上的车辆平均运行速度是随时间的推移连续递减的函数,应用Dijkstra设计了模型的求解算法,仿真结果验证了模型的有效性。
With the increasing proportion of private cars,the phenomenon of serious traffic congestion and frequent traffic accidents in scenic spots,the efficient and reasonable method of traffic jam evacuation path optimization is the fundamental way to alleviate this problem. Considering the choice of tourists psychological path under traffic congestion condition,evacuation route complexity minimum as the optimization objective,is established based on the complexity of the path and the double target evacuation time evacuation route optimization model,the complexity of the definition of the evacuation route for evacuation of the total path length,the average speed of the thought of evacuation section of regional road network on the vehicle is a function of a continuous decrease with the passage of time,the application of Dijkstra design algorithm to solve the model,the simulation results verify the validity of the model.
With the increasing proportion of private cars,the phenomenon of serious traffic congestion and frequent traffic accidents in scenic spots,the efficient and reasonable method of traffic jam evacuation path optimization is the fundamental way to alleviate this problem. Considering the choice of tourists psychological path under traffic congestion condition,evacuation route complexity minimum as the optimization objective,is established based on the complexity of the path and the double target evacuation time evacuation route optimization model,the complexity of the definition of the evacuation route for evacuation of the total path length,the average speed of the thought of evacuation section of regional road network on the vehicle is a function of a continuous decrease with the passage of time,the application of Dijkstra design algorithm to solve the model,the simulation results verify the validity of the model.
引文
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[2]SAYYADY F,EKSIOGLU S D.Optimizing the use of public transit system during no-notice evacuation of urban areas[J].Computers&Industrial Engineering.2010,59(4):488-495.
[3]COVA T J,JOHNSON J P.A network flow model for lane-based evacuation routing[J].Transportation Research Part A,2003,37(7):579-60.
[4]李进,张江华.基于路径的网络流控制应急疏散模型与算法[J].自然灾害学报,2012,21(6):9-18.LI J,ZHANG J H.Path-based network flow control emergency evacuation model and algorithm[J].Journal of Natural Disasters,2012,21(6):9-18.
[5]周继彪,陈红,闫彬,等.综合交通枢纽安全应急疏散路径选择研究[J].中国安全科学学报,2014,24(2):164-170.ZHOU J B,CHEN H,YAN B,et al.Research on emergency evacuation route choice in integrated transport hub[J].China Safety Science Journal,2014,24(2):164-170.
[6]昝良,许继恒.基于改进蚁群算法的应急救援路径规划[J].国防交通工程与技术,2014,12(2):21-24.ZAN L,XU J H.On the improved-ant-colony-algorithm-based planning of emergency rescue paths[J].Traffic Engineering and Technology for National Defence,2014,12(2):21-24.
[7]程国萍,陈德旭.不确定环境下的地震应急救援路径优化研究[J].价值工程,2015,34(7):175-178.CHENG G P,CHEN D X.Earthquake emergency rescue route optimization under uncertainty environment[J].Value Engineering,2015,34(7):175-178.
[8]谈晓勇,林鹰.基于混沌蚁群算法的应急救援车辆调度优化[J].计算机应用研究,2014,31(9):2640-2643.TAN X Y,LIN Y.Vehicle scheduling optimization based on chaos ant colony system algorithm in emergency rescue[J].Application Research of Computers,2014,31(9):2640-2643.
[9]URBINA E,WOLSHON B.National review of hurricane evacuation plans and policies:a comparison and contrast of state practices[J].Transportation Research Part A,2003,37(3):257-275.
[10]郭伟,王凤娇,张铁宏.高铁背景下京津冀旅游效率的空间分析[J].燕山大学学报(哲学社会科学版),2017,18(1):77-84.GUO W,WANG F J,ZHANG T H,et al.A spatial analysis on tourism efficiency in Beijing-Tianjin-Hebei region in the context of CHSR[J].Journal of Yanshan University(Philosophy and Social Science Edition),2017,18(1):77-84.
[11]王娟.基于耦合模型的东北旅游公共服务供需结构研究[J].燕山大学学报(哲学社会科学版),2017,18(2):90-96.WANG J.A study on the supply-demand structure of tourism public service in northeast China based on coupling model[J].Journal of Yanshan University(Philosophy and Social Science Edition),2017,18(2):90-96.
[12]SAGUN A,BOUCHLAGHEM D,ANUMBA C J.Computer simulations vs.building guidance to enhance evacuation performance of buildings during emergency events[J].Simulation Modelling Practice and Theory,2011,19(3):1007-1019.
[13]WU Y C.Reexamining the feasibility of diversification and transfer instruments on smoothing catastrophe risk[J].Insurance:Mathematics and Economics,2015,64:54-66.
[14]XIE C,TURNQUIST M A.Lane-based evacuation network optimization:an integrated Lagrangian relaxation and tabu search approach[J].Transportation Research Part C,2011,19(1):40-63.