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

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. 4 pp, pp. 105-108. (doi:10.1007/11539117_18).


Full text not available from this repository.


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.

Item Type: Conference or Workshop Item (Paper)
Digital Object Identifier (DOI): doi:10.1007/11539117_18
ISBNs: 9783540283256 (print)
ISSNs: 0302-9743 (print)
Venue - Dates: International Conference on Natural Computation (ICNC 2005), 2005-07-27

ePrint ID: 53300
Date :
Date Event
27 July 2005Published
Date Deposited: 22 Jul 2008
Last Modified: 16 Apr 2017 17:50
Further Information:Google Scholar

Actions (login required)

View Item View Item