scholarly journals A simulation-based multiclass, multimodal traffic assignment model with departure time for evaluating traffic control plans of planned special events

2017 ◽  
Vol 25 ◽  
pp. 1352-1379 ◽  
Author(s):  
Yun-Zhu Lin ◽  
Wei-Hao Chen
2020 ◽  
Vol 47 (8) ◽  
pp. 898-907 ◽  
Author(s):  
Islam Kamel ◽  
Amer Shalaby ◽  
Baher Abdulhai

Although the traffic and transit assignment processes are intertwined, the interactions between them are usually ignored in practice, especially for large-scale networks. In this paper, we build a simulation-based traffic and transit assignment model that preserves the interactions between the two assignment processes for the large-scale network of the Greater Toronto Area during the morning peak. This traffic assignment model is dynamic, user-equilibrium seeking, and includes surface transit routes. It utilizes the congested travel times, determined by the dynamic traffic assignment, rather than using predefined timetables. Unlike the static transit assignment models, the proposed transit model distinguishes between different intervals within the morning peak by using the accurate demand, transit schedule, and time-based road level-of-service. The traffic and transit assignment models are calibrated against actual field observations. The resulting dynamic model is suitable for testing different demand management strategies that impose dynamic changes on multiple modes simultaneously.


2004 ◽  
Vol 1876 (1) ◽  
pp. 101-111 ◽  
Author(s):  
Michael Mahut ◽  
Michael Florian ◽  
Nicolas Tremblay ◽  
Mark Campbell ◽  
David Patman ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Meng Meng ◽  
Chunfu Shao ◽  
Yiik Diew Wong ◽  
Jie Zhang

The paper develops a multiclass, multimodal dynamic traffic equilibrium model with consideration of the departure time choice problem. Travelers choose the departure time and the route simultaneously with a Logit-based structure. The route travel cost is a summation of travel time and schedule delay which is associated with arrival time at destination. In addition, the travelers are classified into three groups according to their value of time. A variational inequality (VI) formulation is proposed based on the equilibrium conditions. Two examples are given to testify the effectiveness of the model and the solution algorithm. The model can give the optimal travel route as well as the best departure time, which would contribute to traffic control and dynamic route guidance.


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