Object modeling and path computation for multimodal travel systems-Reference-Cited by-同舟云学术

Object modeling and path computation for multimodal travel systems

Published:2006-12 Issue:3 Volume:175 Page:1705-1730
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Bielli Maurizio,Boulmakoul Azedine,Mouncif Hicham

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference27 articles.

1. Applying geographic information systems to transportation planning;Anderson;Transportation Research Record,1991

2. M.G. Battista, C.M. Lucertini, B. Simeone, Path composition and multiple choice in a bimodal transportation network, In: Proceedings of the Seventh WCTR, Sydney, Australia, 1995.

3. A. Boulmakoul, R. Laurini, H. Mouncif, G. Taqafi, Path-finding operators for fuzzy multimodal spatial networks and their integration in mobile—GIS’, In: Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2002, pp. 51–56.

4. Network equilibrium models with combined modes;Fernandez;Transportation Science,1994

5. Hierarchical encoded path views for path query processing: An optimal model and its performance evaluation;Jing;IEEE Transactions of Knowledge and Data Engineering,1998

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