TY  - JOUR
PY  - 2019//
TI  - Influence of autonomous vehicles on car-following behavior of human drivers
JO  - Transportation research record
A1  - Rahmati, Yalda
A1  - Khajeh Hosseini, Mohammadreza
A1  - Talebpour, Alireza
A1  - Swain, Benjamin
A1  - Nelson, Christopher
SP  - 367
EP  - 379
VL  - 2673
IS  - 12
N2  - Despite numerous studies on general human-robot interactions, in the context of transportation, automated vehicle (AV)-human driver interaction is not a well-studied subject. These vehicles have fundamentally different decision-making logic compared with human drivers and the driving interactions between AVs and humans can potentially change traffic flow dynamics. Accordingly, through an experimental study, this paper investigates whether there is a difference between human-human and human-AV interactions on the road. This study focuses on car-following behavior and conducted several car-following experiments utilizing Texas A&M University's automated Chevy Bolt. Utilizing NGSIM US-101 dataset, two scenarios for a platoon of three vehicles were considered. For both scenarios, the leader of the platoon follows a series of speed profiles extracted from the NGSIM dataset. The second vehicle in the platoon can be either another human-driven vehicle (scenario A) or an AV (scenario B). Data is collected from the third vehicle in the platoon to characterize the changes in driving behavior when following an AV. A data-driven and a model-based approach were used to identify possible changes in driving behavior from scenario A to scenario B. The findings suggested there is a statistically significant difference between human drivers' behavior in these two scenarios and human drivers felt more comfortable following the AV. Simulation results also revealed the importance of capturing these changes in human behavior in microscopic simulation models of mixed driving environments.<p />  <p>Language: en</p>
LA  - en
SN  - 0361-1981
UR  - http://dx.doi.org/10.1177/0361198119862628
ID  - ref1
ER  -