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OPTIMUM MULTIMODAL ROUTING UNDER NORMAL CONDITION AND DISRUPTIONS
by
Afshin Abadi
December 2014
i
Object Description
| Title | Optimum multimodal routing under normal condition and disruptions |
| Author | Abadi, Afshin |
| Author email | abadi@usc.edu;afshinabadi@gmail.com |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Electrical Engineering |
| School | Viterbi School of Engineering |
| Date defended/completed | 2014-09-04 |
| Date submitted | 2014-09-10 |
| Date approved | 2014-09-10 |
| Restricted until | 2014-09-10 |
| Date published | 2014-09-10 |
| Advisor (committee chair) | Ioannou, Petros |
| Advisor (committee member) |
Dessouky, Maged M. Prasanna, Viktor K. |
| Abstract | The road and rail networks, ports and terminals, and sea carriers are part of the multimodal freight transportation chain that handles most imports and exports of goods in the United States. Most of the ports and terminals are located adjacent to urban regions. Urban traffic conditions are extremely time-dependent, and change drastically throughout a day. A major problem in getting traffic flow information in real time is that the vast majority of links are not equipped with traffic sensors. Another problem is that factors affecting traffic flows such as accidents, public events, and road closures are often unforeseen, suggesting that traffic flow forecast is a challenging task. On the other hand, any disruption to the freight transportation chain may have devastating effects on the economy and society. Reconfiguration and routing strategies are needed to mitigate the impact of potential disruptions along the freight transportation chain. ❧ In this research, we use an optimization modeling approach to address the multimodal routing under normal condition and disruptions. The optimization modeling approach consists of traffic flow data completion and optimum routing in road network, optimum multimodal routing, and multimodal routing under disruptions. First, we use a dynamic traffic flow simulator to generate flows in all links in real time using available traffic information, estimated demand, and historical traffic data from the links equipped with sensors. Using the traffic flow data completion methodology and an optimization model, the optimum routing in road network is developed for an individual driver to reach destination in a complex urban network. Then, we use the developed optimum routing in road network and a railway simulation system to address the optimum multimodal routing. The proposed model evaluates volume and travel time of each route based on current traffic conditions and number of trucks or trains that have been assigned dynamically on each route by the optimization models using the optimum routing in road network and a railway simulation system. Finally, the proposed optimization modeling approach will make freight distribution process become more resilient in the presence of disruptions. Our approach is based on reconfiguration to include available resources and alternative routes which in the absence of disruption were not cost effective, and therefore under normal conditions were not feasible choices. Several case studies are presented to demonstrate the effectiveness of the proposed optimization modeling approach. |
| Keyword | optimization; disruption; freight; multimodal |
| Language | English |
| Format (imt) | application/pdf |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m |
| Contributing entity | University of Southern California |
| Rights | Abadi, Afshin |
| Physical access | The author retains rights to his/her dissertation, thesis or other graduate work according to U.S. copyright law. Electronic access is being provided by the USC Libraries in agreement with the author, as the original true and official version of the work, but does not grant the reader permission to use the work if the desired use is covered by copyright. It is the author, as rights holder, who must provide use permission if such use is covered by copyright. The original signature page accompanying the original submission of the work to the USC Libraries is retained by the USC Libraries and a copy of it may be obtained by authorized requesters contacting the repository e-mail address given. |
| Repository name | University of Southern California Digital Library |
| Repository address | USC Digital Library, University of Southern California, University Park Campus MC 7002, 106 University Village, Los Angeles, California 90089-7002, USA |
| Repository email | cisadmin@lib.usc.edu |
| Filename | etd-AbadiAfshi-2918.pdf |
| Archival file | uscthesesreloadpub_Volume14/etd-AbadiAfshi-2918.pdf |
Description
| Title | Page 1 |
| Repository email | cisadmin@lib.usc.edu |
| Full text | OPTIMUM MULTIMODAL ROUTING UNDER NORMAL CONDITION AND DISRUPTIONS by Afshin Abadi December 2014 i |
