Details:

Creators:
Hunter, Michael P. ; Guin, Angshuman ; Rodgers, Michael O. ; Huang, Ziwei ; Greenwood, Aaron T.
Hunter, Michael P. ; Guin, Angshuman ; Rodgers, Michael O. ; Huang, Ziwei ; Greenwood, Aaron T. Less -
Corporate Creators:
Georgia Institute of Technology. School of Civil and Environmental Engineering
Corporate Contributors:
Georgia. Dept. of Transportation
Subject/TRT Terms:
[+]
Automation Communications Headways Highway Operations Intelligent Vehicles Simulation Traffic Congestion Vehicle To Vehicle Communications
Publication/ Report Number:
RP 14-36
Resource Type:
Tech Report
Geographical Coverage:
United States
Corporate Publisher:
United States. Federal Highway Administration
NTL Classification:
NTL-HIGHWAY/ROAD TRANSPORTATION-HIGHWAY/ROAD TRANSPORTATION;NTL-OPERATIONS AND TRAFFIC CONTROLS-OPERATIONS AND TRAFFIC CONTROLS;
Abstract:
The past few years have witnessed a rapidly growing market in assistive driving technologies, designed to improve safety and operations by supporting driver performance. Often referred to as cooperative vehicle–highway automation (CVHA) systems, these assistive technologies commonly utilize radar, light detection and ranging (LiDAR), or other machine-vision technologies, as well as vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) technology, to obtain surrounding roadway and traffic data. Extensive research has been conducted on CVHA technology since the late 1990s. Findings have been generally positive, including potential safety benefits, high potential acceptance rates, and reductions in driver workload, though operations and capacity impacts have been mixed, depending on the technology. Numerous opportunities for further advancement in traffic control strategies that leverage V2V and V2I have been identified and are under development. However, from the current literature, it is not clear: (1) how some of these systems will operate on the existing infrastructure (e.g., autonomous vehicles), (2) how they will impact traffic congestion and safety, and (3) how state departments of transportation (DOTs) should incorporate this changing vehicle and driver environment in their planning, design, safety, and construction processes. The objective of the current study was to begin to address these concerns to ensure that state DOTs and other practitioners will have the information necessary to make effective policies, procedures, and management decisions regarding CVHA technology. In seeking to address these concerns, a key finding from this study is related to the underlying modeling approaches utilized to study many of these potential technologies. It viii is clear that current simulation models are not capable of readily modeling cooperative assist technologies or autonomous vehicles. A critical component in the determination of the impact of many of these technologies is the human interaction with the technology, both those individuals inside the equipped vehicle and those driving other vehicles that interact with the equipped vehicle.
Format:
PDF
Funding:
DTRT12GUTC12
Collection(s):
US Transportation Collection
Main Document Checksum:
[+]
urn:sha256:7b69a6ed5d085a6709be9962a2c149beb94114a617e554b156d876ad948e1af6
Download URL:
https://rosap.ntl.bts.gov/view/dot/36001/dot_36001_DS1.pdf
File Type:

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