Generating Traffic Information From Connected Vehicle V2V Basic Safety Messages

Levin, Michael W.; Chen, Rongsheng; Hourdos, John; Duhn, Melissa; University of Minnesota. Dept. of Civil, Environmental, and Geo-Engineering

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Generating Traffic Information From Connected Vehicle V2V Basic Safety Messages

2021-03-01
By Levin, Michael W. ; Chen, Rongsheng ; Hourdos, John ; ...

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Creators:

Levin, Michael W. ; Chen, Rongsheng ; Hourdos, John ; Duhn, Melissa

Levin, Michael W. ; Chen, Rongsheng ; Hourdos, John ; Duhn, Melissa Less -
Corporate Creators:

University of Minnesota. Dept. of Civil, Environmental, and Geo-Engineering
Corporate Contributors:

Minnesota. Dept. of Transportation. Research Services & Library
Subject/TRT Terms:

[+]

Algorithms Connected Vehicles Highway Safety Kalman Filtering Microscopic Traffic Flow Real Time Data Processing Traffic Estimation Traffic Surveillance Vehicle To Vehicle Communications
Publication/ Report Number:

MN 2021-08
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report
Corporate Publisher:

Minnesota. Dept. of Transportation. Research Services & Library
Abstract:

Basic Safety Message (BSM) containing data about the vehicle's position, speed, and acceleration. Roadside receivers, RSUs, can capture BSM broadcasts and translate them into information about traffic conditions. If every vehicle is equipped with awareness, BSMs can be combined to calculate traffic flows, speeds, and densities. These three key parameters will be post-processed to obtain queue lengths and travel time estimates. The project team proposed a traffic state estimation algorithm using BSMs based on the Kalman filter technique. The algorithm's performance was tested with BSMs generated from several arterial in a microscopic simulation model and BSMs generated with radar data collected on freeway sections. Then the project team developed a traffic monitoring system to apply the algorithm to a large-scale network with different types of roads. In the system, computers could remotely access the online server to acquire BSMs and estimate traffic states in real-time.
Format:

PDF
Funding:

(C) 1003325 (WO) 65
Collection(s):

US Transportation Collection
Main Document Checksum:

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urn:sha256:2d6c23b5a0e0bfa9ee7660e449467c863126b5607b8670b71834a08fe7721a01
Download URL:

https://rosap.ntl.bts.gov/view/dot/56861/dot_56861_DS1.pdf
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Generating Traffic Information From Connected Vehicle V2V Basic Safety Messages

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