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Comparative study on recognition of transportation system under real and UE status

Comparative study on recognition of transportation system under real and UE status
Comparative study on recognition of transportation system under real and UE status
Transportation system is a complex, large, integrated and open system. It’s difficult to recognize the system with analytical methods. So, two neural network models are developed to recognize the system. One is a back propagation neural network to recognize ideal system under equilibrium status, and the other is a counter propagation model to recognize real system with probe vehicle data. By recognizing ideal system, it turn out that neural network can simulate the process of traffic assignment, that is, neural network can simulate mapping relationship between OD matrix and assigned link flows, or link travel times. Similarly, if real-time OD matrix is obtained by probe vehicle technology, and then similarly results like link travel times can be obtained by similarly models. By comparing outputs of two models, difference about real and ideal transportation system can be found.
9783540283256
0302-9743
105-108
Springer
Dong, Jingxin
6b5dbae6-af00-4fc2-a132-8ee5b23a0e96
Wu, Jianping
5a0119e5-a760-4ff5-90b9-ec69926ce501
Zhou, Yuanfeng
02c517db-bf7b-43c7-84e6-c088f058d685
Dong, Jingxin
6b5dbae6-af00-4fc2-a132-8ee5b23a0e96
Wu, Jianping
5a0119e5-a760-4ff5-90b9-ec69926ce501
Zhou, Yuanfeng
02c517db-bf7b-43c7-84e6-c088f058d685

Dong, Jingxin, Wu, Jianping and Zhou, Yuanfeng (2005) Comparative study on recognition of transportation system under real and UE status. In Advances in Natural Computation. vol. 3611/2005, Springer. pp. 105-108 . (doi:10.1007/11539117_18).

Record type: Conference or Workshop Item (Paper)

Abstract

Transportation system is a complex, large, integrated and open system. It’s difficult to recognize the system with analytical methods. So, two neural network models are developed to recognize the system. One is a back propagation neural network to recognize ideal system under equilibrium status, and the other is a counter propagation model to recognize real system with probe vehicle data. By recognizing ideal system, it turn out that neural network can simulate the process of traffic assignment, that is, neural network can simulate mapping relationship between OD matrix and assigned link flows, or link travel times. Similarly, if real-time OD matrix is obtained by probe vehicle technology, and then similarly results like link travel times can be obtained by similarly models. By comparing outputs of two models, difference about real and ideal transportation system can be found.

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More information

Published date: 27 July 2005
Venue - Dates: International Conference on Natural Computation (ICNC 2005), 2005-07-27

Identifiers

Local EPrints ID: 53300
URI: https://eprints.soton.ac.uk/id/eprint/53300
ISBN: 9783540283256
ISSN: 0302-9743
PURE UUID: d78584d2-be3a-4e1d-971b-2230a69d00a7

Catalogue record

Date deposited: 22 Jul 2008
Last modified: 13 Mar 2019 20:41

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