Chapter
Apr 26, 2012
An Effective Approach to Treating with Unrealistic Paths in Multi-Modal Traffic Assignment
Authors: Tianran Zhang [email protected], Dongyuan Yang, Yali Zhao, and Chao YangAuthor Affiliations
Publication: International Conference on Transportation Engineering 2009
Abstract
The topology structure of the real transportation network in traffic assignment model could be changed by centroid connectors and it leads to the unrealistic paths problem. Two types of unrealistic paths in multi-modal traffic assignment are defined. The method to avoid the second type of unrealistic paths that cannot be treated effectively by state-to-practice commercial transportation planning software is studied. Based on the shortest path algorithm with deque data structure, the algorithm to tackle the two types of unrealistic paths is proposed. It is tested in large scale transportation network with both vehicle traffic assignment model and multi-modal traffic assignment model. The results show that the algorithm is very effective. The proposed algorithm can remedy the disadvantage of commercial transportation planning software.
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© 2009 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Algorithms
- Computer programming
- Computer software
- Computing in civil engineering
- Engineering fundamentals
- Highway transportation
- Infrastructure
- Mathematics
- Models (by type)
- Scale models
- Structural models
- Traffic assignment
- Traffic engineering
- Traffic management
- Traffic models
- Transportation engineering
- Transportation management
- Transportation networks
- Vehicles
Authors
Affiliations
School of Transportation Engineering, Tongji University, Shanghai 201804, China and Shanghai City Comprehensive Transportation Planning Institute, Shanghai 200040, China. E-mail: [email protected]
Dongyuan Yang
School of Transportation Engineering, Tongji University, Shanghai 201804, China
Yali Zhao
School of Transportation Engineering, Tongji University, Shanghai 201804, China
Chao Yang
School of Transportation Engineering, Tongji University, Shanghai 201804, China
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