Rail-Highway Crossing Delay Study for Dolton and Riverdale

Kawamura, Kazuya; Allahyari, Afshin

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Rail-Highway Crossing Delay Study for Dolton and Riverdale

2020-09-01
By Kawamura, Kazuya ; Allahyari, Afshin

File Language:

English

Details

Creators:

Kawamura, Kazuya ; Allahyari, Afshin
Corporate Creators:

University of Illinois at Chicago. Urban Transportation Center
Corporate Contributors:

South Suburban Mayors and Managers Association ; National University Rail Center (NURail) ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; Metropolitan Transportation Support Initiative (METSI) ; Illinois. Dept. of Transportation
Subject/TRT Terms:
Publication/ Report Number:

NURail2020-UIC-R18
Resource Type:

Tech Report
Geographical Coverage:

Chicago (Illinois) ; United States
Corporate Publisher:

University of Illinois at Chicago. Urban Transportation Center
Description:

This study examined the impacts of rail crossings in the communities of Dolton and Riverdale located approximately 22 miles south of downtown Chicago in the southern Cook County, Illinois. Reflecting their industrial heritage, railroads are a major presence in those communities. There are major rail yards including Union Pacific (UP) Yard Center, Chessie Seaboard X (CSX) Barr Yard, Indiana Harbor Belt (IHB) Blue Island Yard, and Riverdale CSX Yard, generating and attracting significant number of freight trains each day. The study used a tool that carries out dynamic traffic assignment (DTA) to simulate how travelers can utilize real-time information on traffic conditions to avoid lengthy delays that are caused by gate-down events that exceed 10 minutes.
Format:

PDF
Funding:

DTRT13-G-UTC52 (Grant 2)
Download URL:

https://rosap.ntl.bts.gov/view/dot/64742/dot_64742_DS1.pdf
File Type:

[PDF - 1.27 MB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha256:b27937a300e29854715f8ad855784325f624e2ace7d5a1681308db447feef30e

File Language:

English

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