A real-time road pricing system: The case of a two-link parallel network |
| |
Authors: | Du&scaron an Teodorović,Praveen Edara |
| |
Affiliation: | 1. The Charles E. Via Jr. Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University, Northern Virginia Center, 7054 Haycock Road, Falls Church, VA 22043-2311, USA;2. Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11000 Belgrade, Serbia and Montenegro |
| |
Abstract: | A real-time road pricing system in the case of a two-link parallel network is proposed in this paper. The system that is based on a combination of Dynamic Programming and Neural Networks makes “on-line” decisions about road toll values. In the first phase of the proposed model, the best road toll sequences during certain time period are calculated off-line for many different patterns of vehicle arrivals. These toll sequences are computed using Dynamic Programming approach. In the second phase, learning from vehicle arrival patterns and the corresponding optimal toll sequences, neural network is trained. The results obtained during on-line tests are close to the best solution obtained off-line assuming that the arrival pattern is known. |
| |
Keywords: | Congestion pricing Dynamic Programming Fuzzy logic Neural Networks |
本文献已被 ScienceDirect 等数据库收录! |
|