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Title: The Safety Benefits of Automated Speed Advisory Systems at Signalized Intersections
Accession Number: 01835557
Record Type: Component
Abstract: Human driving behavior at signalized intersections may lack efficiency because driverstry to reach their desired speed without the upcoming traffic signal information. This causes idling time, sharp accelerations, hard braking, traffic congestion, emissions, and energy consumption. Connected vehicles, for example equipped with a speed advisory system (SAS), can provide prior information to drivers for optimizing their driving behavior while approaching signalized intersections. However, the current literature focuses only on fuel consumption, emissions, and travel delay reduction impacts of SAS. In this paper, the authors evaluate the safety impact of SAS vehicles using the proposed acceleration control microsimulation model with real vehicle trajectories. The results suggest that the increasing market penetration rate (MPR) from 25% of SAS vehicles can reduce rear-end collision risks. Human-driven vehicles (HDVs) following a SAS vehicle can benefit from the SAS vehicle’s acceleration control. For example, in case the first vehicle of a group of approaching vehicles is equipped with SAS, all the approaching vehicles can gain similar safety benefits due to the similar speed profile to the 100 % MPR scenario. In addition, the conflict locations in the approaching lane gradually move away from the intersection as the MPR increases up to where the communication range starts at 100 % MPR, which can benefit pedestrian safety at intersections.
Supplemental Notes: This paper was sponsored by TRB committee ACP80 Standing Committee on Traffic Simulation.
Report/Paper Numbers: TRBAM-22-04208
Language: English
Authors: Do, WooseokSaunier, NicolasMiranda-Moreno, LuisPagination: 20p
Publication Date: 2022
Conference:
Transportation Research Board 101st Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment
Source Data: Transportation Research Board Annual Meeting 2022 Paper #TRBAM-22-04208
Files: TRIS, TRB, ATRI
Created Date: Feb 4 2022 4:25PM
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