Conference Interactive Program
To view the 2013 Annual Meeting Interactive Program
TRB 91st Annual Meeting (January 22-26, 2012)
Planning for Pedestrians
Jan 24 2012 7:30PM- 9:30PM
Marriott, Salon 2
Intelligent Algorithms for Multimodal Network Problems (12-2913)
Multi-modal network has a great role in urban transportation network in which travelers apply several modes such as subway, bus, feeder, walking and etc. Some of the most applicable problems in multi-modal transportation networks are network design, scheduling and routing. In this paper we briefly introduce these problems and their applications in traffic management systems such as ATMS and ATIS. Almost all of these problems are known as Np-hard so intelligent algorithms such as neural networks, ant colony or genetic algorithms may be used to solve these problems in real time. As an instance we give an example on multi-modal routing problem and try to use an intelligent algorithm to find reasonable paths in an urban transportation network. The results are given to demonstrate the effectiveness of the proposed algorithm on several random networks. It is possible to pursue same approach to design of integrated transportation network for a great city including all of the components of sustainable transportation. Also hierarchical scheduling through the multi-modal network can be proposed by same intelligent algorithm which saves the network experiences.
Ghatee, Mehdi , Amirkabir University of Technology, Iran
Malihe Niksirat, Malihe , Amirkabir University of Technology, Iran
Hashemi, S. Mehdi , Amirkabir University of Technology, Iran
Transportation Research Board. 500 Fifth St. NW, Washington, D.C. 20001
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