Optimizing Emergency Response: Intelligent Routing Decision Support System for First Responders at Rail Crossings

Chen, Yuche; Qian, Yu; Ding, Ning; Rizos, Dimitris C

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Optimizing Emergency Response: Intelligent Routing Decision Support System for First Responders at Rail Crossings

2025-09-30
By Chen, Yuche ; Qian, Yu ; Ding, Ning

File Language:

English

Details

Creators:

Chen, Yuche ; Qian, Yu ; Ding, Ning ; Rizos, Dimitris C
Corporate Creators:

University Transportation Center for Railway Safety (UTCRS) UTC ; University of South Carolina
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:
Publication/ Report Number:

UTCRS-USC-O5CY24
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

June 1, 2024 – August 31, 2025
Corporate Publisher:

University Transportation Center for Railway Safety (UTCRS) Tier-1 University Transportation Center (UTC)
Abstract:

The expansion of urban railway networks improves mobility but simultaneously increasing unpredictability in traffic systems particularly due to significant delays experienced by first responders at level crossings blocked by passing trains. While existing routing systems may account for train-induced blockage durations, they often overlook the additional delays caused by post-blockage traffic dissipation, thereby limiting their reliability in time-critical emergency scenarios. This study aims to provide a more accurate estimation of total delay time at level crossings by incorporating both train blockage time and traffic decongestion time into routing decision systems to improve the overall effectiveness and reliability of emergency response operations.
Format:

PDF
Funding:

69A3552348340
Download URL:

https://rosap.ntl.bts.gov/view/dot/88091/dot_88091_DS1.pdf
File Type:

[PDF - 2.92 MB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:fbee75d89ab322dcea3268bc1e92991762a8a325f0c8ae7648c38930c58a96b5d119d079defecc9eb2f4c3b85d82ade7e1d1967ee694545c39b766792fb107c8

File Language:

English

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