@article{ref1,
title="Safety evaluation of the advanced stop assist system in connected vehicle environment",
journal="Transportation research record",
year="2018",
author="Njobelo, Gwamaka and Sando, Thobias and Sajjadi, Soheil and Mtoi, Enock and Ozguven, Eren Erman and Sobanjo, John",
volume="2672",
number="22",
pages="47-57",
abstract="Although traffic signals are installed to reduce the overall number of collisions at intersections, certain types, in particular, rear-end collisions are increasing due to signalization. One dominant factor associated with rear-end crashes is the indecisiveness of the driver, especially in the dilemma zone. An advisory system to help the driver make the stop-or-pass decision would greatly improve intersection safety. This study proposes and evaluates an Advanced Stop Assist System (ASAS) at signalized intersections by using Vehicle-to-Infrastructure (V2I) communication. The proposed system utilizes communication data, received from roadside equipment, to provide approaching vehicles with vehicle-specific advisory speed messages to prevent vehicle hard-braking at a yellow or red signal. A simulation test bed was modeled using VISSIM, a microscopic simulation software, to evaluate the effectiveness of the proposed system. The results demonstrate that at full market penetration (100% saturation of vehicles equipped with on-board communication equipment), the proposed system reduces the number of hard-braking vehicles by nearly 50%. Sensitivity analyses of market penetration rates also show a degradation in safety conditions at penetration rates lower than 40%. The results suggest that a penetration rate of at least 60% is required for the proposed system to minimize rear-end collisions and improve safety at the signalized intersections.<p /> <p>Language: en</p>",
language="en",
issn="0361-1981",
doi="10.1177/0361198118797831",
url="http://dx.doi.org/10.1177/0361198118797831"
}