Incorporating Probe Vehicle Data to Analyze Evacuation Route Resiliency

Brennan, Jr. Thomas M.; The College of New Jersey

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Incorporating Probe Vehicle Data to Analyze Evacuation Route Resiliency

2018-04-18
By Brennan, Jr. Thomas M.

[PDF-3.57 MB]

English

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Details:

Creators:

Brennan, Jr. Thomas M.
Corporate Creators:

The College of New Jersey
Corporate Contributors:

University Transportation Research Center
Subject/TRT Terms:

[+]

Arterial Highways Bridges Coastal Roadway Networks Coasts Data And Information Technology Data Collection Evacuation Evacuation Routes Global Positioning System Highways Methodology Operations And Traffic Management Performance Measurement Probe Data Probe Vehicles Routes And Routing Security And Emergencies Super Storm Sandy Traffic Congestion Traffic Message Channels Variable Message Signs Weather Event
Resource Type:

Research Paper
Geographical Coverage:

New Jersey ; United States

New Jersey ; United States Less -
TRIS Online Accession Number:

01683680
Edition:

Final Report June 1, 2016 - April 30, 2018
Corporate Publisher:

University Transportation Centers Program (U.S.)
Abstract:

Anonymous probe vehicle data has become an important data source to evaluate the performance of highways and arterials roadway systems. By using predefined spatially located segments, Traffic Message Channels (TMCs) and XD Segments, temporal probe vehicle speed data that includes timestamp and an average speed can be collected and analyzed for each segment. This data has been used to develop agency-wide performance measures to better plan and manage infrastructure assets. Recent research has analyzed individual TMC links on roadway systems to identify congested areas along a defined route. Understanding congestion characteristics is especially important when quantifying roadway congestion under extreme conditions like a natural or human-made disaster. This paper demonstrates how probe speed data can be used to assess the impact of a major weather event on coastal roadway networks and major evacuation routes. An analysis of vehicle speed data during Hurricane Sandy (a.k.a Super Storm Sandy), the second costliest hurricane in the United States is used to demonstrate the methodologies presented in the paper. The evacuation analysis encompasses 1518 TMCs, including 13 evacuation routes, within 10-miles of the New Jersey coast. An additional analysis was conducted on a subset of the 1518 TMCs to develop a regional congestion performance measure using 614 TMCs. Approximately 90-million speed records covering nine counties where analyzed in the study. The results quantified when and where data connectivity decreased during the storm and its eventual recovery.
Format:

PDF
Funding:

49198-14-28
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:5e17c4b6802d4c55d2b21a7d26bb3467a12080b1fa7d80219ea42264faf5de55
Download URL:

https://rosap.ntl.bts.gov/view/dot/39604/dot_39604_DS1.pdf
File Type:

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Incorporating Probe Vehicle Data to Analyze Evacuation Route Resiliency

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