Integrating Management of Truck and Rail Systems in Los Angeles

Dessouky, Maged; Fu, Lunce; Hu, Shichun

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Integrating Management of Truck and Rail Systems in Los Angeles

2018-10-01
By Dessouky, Maged ; Fu, Lunce ; Hu, Shichun

File Language:

English

Details

Creators:

Dessouky, Maged ; Fu, Lunce ; Hu, Shichun
Corporate Creators:

National Center for Sustainable Transportation (NCST) ; METRANS Transportation Center (Calif.) ; University of Southern California, Los Angeles
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

California;United States
Corporate Publisher:

National Center for Sustainable Transportation (NCST) (UTC)
Abstract:

This project establishes models to optimize the balance of freight demand across rail and truck modes. In real life situations, trains often travel at different speeds (i.e. passenger trains and freight trains share the same rail network). This incurs train delay whereby reducing the efficiency of the rail network. To provide a solution for this problem, the authors develop heuristic algorithms to improve conventional dispatching rules to reduce the average train delay. Then they build a control model and provide the solution procedure to adapt a dynamic headway concept inspired by new signaling technology like Positive Train Control (PTC). Rail network data of the Southern California region is collected to perform a detailed simulation analysis. The simulation results show significant improvement of network efficiency brought by the author's model and algorithms: as high as 21% reduction in average train delay with their best dispatching policy while with the dynamic headway control model, the average train delay is reduced by 40%. The railway network is therefore shown to have the potential to increase throughput capacity by 20%.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/64622/dot_64622_DS1.pdf
File Type:

[PDF - 825.04 KB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:2e07af8b97de3c1f0890e653a173851e3a1e3a76afe253afd4dc0e5eb6c717abe0db602101f79cf525b7f6b0e3eb4c920cc865d284853565b1a951ea7a6c501d

File Language:

English

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