Comprehensive Study on CMV Safety Using ITS in Work Zones on Freeways and Arterials

Jeihani, Mansoureh; Khadem, Nashid; Taherpour, Abolfazl; Kabir, Muhib; Ardeshiri, Anam

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Comprehensive Study on CMV Safety Using ITS in Work Zones on Freeways and Arterials

2023-10-20
By Jeihani, Mansoureh ; Khadem, Nashid ; Taherpour, Abolfazl

File Language:

English

Details

Creators:

Jeihani, Mansoureh ; Khadem, Nashid ; Taherpour, Abolfazl ; Kabir, Muhib ; Ardeshiri, Anam
Corporate Creators:

Morgan State University. Sustainable Mobility and Accessibility Regional Transportation Equity Research Center (SMARTER) Region 3 University Transportation Center (UTC)
Corporate Contributors:

United States. Department of Transportation. Federal Motor Carrier Safety Administration
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report
Corporate Publisher:

Morgan State University. Urban Mobility & Equity Center
Abstract:

Work zones pose significant safety challenges on highways, with Commercial Motor Vehicles (CMVs) being particularly susceptible to higher risk due to their larger size, slower acceleration/deceleration rates, and expanded blind spots. This study aimed to assess the impact of various work zone warning measures on the driving behavior of CMV operators. These measures encompassed static work zone signs, Intelligent Transportation Systems (ITS) warning devices, connected and autonomous vehicle (CAV) technologies, as well as autonomous vehicle (AV) technologies. Over 50 subjects participated in this research to drive a simulated network in a driving simulator environment featuring three distinct work zones. A total of 20 scenarios, incorporating different traffic patterns, lighting options, and weather conditions, were utilized to observe driver’s behavior under various warning systems.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/72423/dot_72423_DS1.pdf
File Type:

[PDF - 5.23 MB]
Collection(s):

Autonomous Vehicles ; US Transportation Collection
Main Document Checksum:

urn:sha-512:e16f433ba4fa0c3810dbbf8695fdc04e1234e4d6e88a501a8480b9a9c470c34ac7a16b3af16e276820e445ce5ab62f3694dfb736f3476b62fe4a9d8c044f35e0

File Language:

English

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