A GIS-based decision support system for analysis of route choice in congested urban road networks

被引:34
作者
Wu Y.-H. [1 ]
Miller H.J. [1 ]
Hung M.-C. [1 ]
机构
[1] Digitally Intgd. Geogr. Info. T., University of Utah 260 S, Salt Lake City, UT 84112-9155, Central Campus Dr.
关键词
Congestion; Shortest path; Spatial decision support; Transportation;
D O I
10.1007/PL00011466
中图分类号
学科分类号
摘要
Urban congestion patterns have become ubiquitous and complex. Traditional, "static" approaches are no longer adequate for analyzing network flows and conducting minimum cost routing. This paper reports on a GIS-based decision support tool for modeling dynamic network congestion and conducting minimum cost routing. The system predicts network flows at a detailed level of temporal resolution, capturing dynamic congestion propagation effects. A Route Planner module solves for the combined departure time and minimum cost routing required for a trip to reach its destination by a given deadline. The GIS provides effective decision support through its database management capabilities, graphical user interfaces and cartographic visualization. This supports analyses of "what-if?" scenarios for strategic planning and tactical management subject to unplanned network disturbances.
引用
收藏
页码:3 / 24
页数:21
相关论文
共 46 条
[1]
Acevedo W., Masuoka P., Time-series animation techniques for visualizing urban growth, Computers and Geosciences, 23, pp. 423-435, (1997)
[2]
Ben-Akiva M., Dynamic network equilibrium research, Transportation Research A., 19 A, pp. 429-431, (1985)
[3]
Ben-Akiva M.E., Koutsopoulos H.N., Mishalano R.G., Yang Q., Simulation laboratory evaluating dynamic traffic management systems, Journal of Transportation Engineering, ACSE, pp. 283-289, (1997)
[4]
De Boyce, Ran B., LeBlanc L.J., Solving an instantaneous dynamic user-optimal route choice model, Transportation Science, 29, 2, pp. 128-142, (1995)
[5]
De Boyce, Lee D.-H., Janson B.N., Berka S., Dynamic route choice model of large-scale traffic network, Journal of Transportation Engineering, 123, 4, pp. 276-282, (1997)
[6]
Cantarella G.E., Cascetta E., Dynamic processes and equilibrium in transportation networks: Towards a unifying theory, Transportation Science, 29, 4, pp. 305-329, (1995)
[7]
Carey M., A constraint qualification for a dynamic traffic assignment model, Transportation Science, 20, pp. 55-58, (1986)
[8]
Carey M., Optimal time-vary flows on congested networks, Operations Research, 35, pp. 58-69, (1987)
[9]
Cascetta E., Cantarella G.E., A day-to-day and within-day dynamic stochastic assignment model, Transportation Research A, 25 A, pp. 277-291, (1991)
[10]
Cervero R., Suburban Gridlock, (1986)