Observation-Based Lane-Vehicle Assignment Hierarchy: Microscopic Simulation on Urban Street Network
Abstract
A lane-assignment model in a vehicle-based microscopic simulation system describes a vehicle’s position during its journey on an urban street network. In other words, it is used to estimate an individual vehicle’s location, speed, routing plan, lane-choice plan, lane-changing plan, and car-following plan from its entrance to a street network until the end of the trip. From the authors’ observations and study of lanechoice and lane-changing behavior, it is concluded that a vehicle is assigned to a lane in a logical manner depending on the relationship between its route-planned motivation and traffic conditions in the current lane and other lanes. A lane-assignment model consists of three components: lane choice, car following, and lane changing. The lane-changing component is composed of three submodels—a decision model, a lane-changing condition model, and a lane-changing maneuver model. Rules are discussed for lane-choice and lane-changing modeling based on videotaped observations over four-lane urban streets. Then a heuristic structure of a lane-vehicle-assignment model is proposed, which exposes the inherent relationship between vehicle-based travel behavior and lane-vehicle assignment on an urban street network. With the addition of a lane-assignment model derived from observed data, a simulation may be developed to correctly represent travel behavior and dynamic traffic assignment at the lane level and provide a more effective tool for design and evaluation of the performance of strategies for traffic control, traveler information, and congestion alleviation.
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References
1. Ran B., and Boyce D. Modeling Dynamic Transportation Networks. In Intelligent Transportation System Oriented Approach, 2nd rev. ed. Springer, Berlin, 1996.
2. Mahmassani H. S., and Peeta S. System Optimal Dynamic Assignment for Electronic Route Guidance in a Congested Traffic Network. In Urban Traffic Networks: Dynamic Flow Modeling and Control, Springer-Verlag, 1995.
3. Wei H., Feng C., Meyer E., and Lee J. Video-Capture-Based Methodology for Extracting Multiple Vehicle Trajectories for Microscopic Simulation Modeling. Presented at the 78th Annual Meeting of the Transportation Research Board, Washington, D.C., Jan. 1999.
4. May A. D. Traffic Flow Fundamentals. Prentice-Hall, Englewood Cliffs, N.J., 1990.
5. Wei H. Observed Lane-Choice and Lane-Changing Behaviors on an Urban Street Network Using Video-Capture-Based Approach and Suggested Structures of Their Models. Ph.D. dissertation. University of Kansas, Lawrence, May 1999.
6. Zhang Y., Owen L. E., and Clark J. E. Multiregime Approach for Microscopic Traffic Simulation. In Transportation Research Record 1644, TRB, National Research Council, Washington, D.C., 1998, pp. 103–115.
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Article first published: January 2000
Issue published: January 2000
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This article was published in Transportation Research Record: Journal of the Transportation Research Board.
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