Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lu, Chung-Cheng | en_US |
dc.contributor.author | Liu, Jiangtao | en_US |
dc.contributor.author | Qu, Yunchao | en_US |
dc.contributor.author | Peeta, Srinivas | en_US |
dc.contributor.author | Rouphail, Nagui M. | en_US |
dc.contributor.author | Zhou, Xuesong | en_US |
dc.date.accessioned | 2017-04-21T06:55:24Z | - |
dc.date.available | 2017-04-21T06:55:24Z | - |
dc.date.issued | 2016-12 | en_US |
dc.identifier.issn | 0191-2615 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1016/j.trb.2016.09.015 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/132989 | - |
dc.description.abstract | This research addresses the eco-system optimal dynamic traffic assignment (ESODTA) problem which aims to find system optimal eco-routing or green routing flows that minimize total vehicular emission in a congested network. We propose a generic agent-based ESODTA model and a simplified queueing model (SQM) that is able to clearly distinguish vehicles\' speed in free-flow and congested conditions for multi-scale emission analysis, and facilitates analyzing the relationship between link emission and delay. Based on the SQM, an expanded space-time network is constructed to formulate the ESODTA with constant bottleneck discharge capacities. The resulting integer linear model of the ESODTA is solved by a Lagrangian relaxation-based algorithm. For the simulation-based ESODTA, we present the column-generation-based heuristic, which requires link and path marginal emissions in the embedded time-dependent least-cost path algorithm and the gradient-projection based descent direction method. We derive a formula of marginal emission which encompasses the marginal travel time as a special case, and develop an algorithm for evaluating path marginal emissions in a congested network. Numerical experiments are conducted to demonstrate that the proposed algorithm is able to effectively obtain coordinated route flows that minimize the system-wide vehicular emission for large-scale networks. (C) 2016 Elsevier Ltd. All rights reserved. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Green transportation | en_US |
dc.subject | Vehicular emission modeling | en_US |
dc.subject | Eco-routing | en_US |
dc.subject | Marginal emission | en_US |
dc.subject | Multi-scale dynamic network loading | en_US |
dc.title | Eco-system optimal time-dependent flow assignment in a congested network | en_US |
dc.identifier.doi | 10.1016/j.trb.2016.09.015 | en_US |
dc.identifier.journal | TRANSPORTATION RESEARCH PART B-METHODOLOGICAL | en_US |
dc.citation.volume | 94 | en_US |
dc.citation.spage | 217 | en_US |
dc.citation.epage | 239 | en_US |
dc.contributor.department | 運輸與物流管理系 註:原交通所+運管所 | zh_TW |
dc.contributor.department | Department of Transportation and Logistics Management | en_US |
dc.identifier.wosnumber | WOS:000390640800012 | en_US |
Appears in Collections: | Articles |