Graduate School and Research Center in Digital Sciences

Braking strategy for an autonomous vehicle in a mixed traffic scenario

Patel, Raj Haresh; Härri, Jérôme; Bonnet, Christian

VEHITS 2017, IEEE 3rd Conference on Vehicle Technology and Intelligent Transport Systems, April 22-24, 2017, Porto, Portugal

During the early deployment phase of autonomous vehicles, autonomous vehicles will share roads with conventional manually driven vehicles. They will be required to adjust their driving dynamically taking into account not only preceding but also following conventional manually driven vehicles. This paper addresses the challenges of adaptive braking to avoid front-end and rear-end collisions, where an autonomous vehicle is followed by a conventional manually driven vehicle. We illustrate via simulations the consequences of independent braking in terms of collisions, on both autonomous and conventional vehicles, and propose an adaptive braking strategy for autonomous vehicles to coordinate with conventional manually driven vehicles to avoid front and rear-end collisions.

Document Hal Bibtex

Title:Braking strategy for an autonomous vehicle in a mixed traffic scenario
Keywords:Collision Avoidance, Autonomous Vehicle, Manually Driven Vehicle, Vehicular Mobility, Braking Strategy, IDM
Department:Communication systems
Eurecom ref:5137
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Bibtex: @inproceedings{EURECOM+5137, year = {2017}, title = {{B}raking strategy for an autonomous vehicle in a mixed traffic scenario}, author = {{P}atel, {R}aj {H}aresh and {H}{\"a}rri, {J}{\'e}r{\^o}me and {B}onnet, {C}hristian}, booktitle = {{VEHITS} 2017, {IEEE} 3rd {C}onference on {V}ehicle {T}echnology and {I}ntelligent {T}ransport {S}ystems, {A}pril 22-24, 2017, {P}orto, {P}ortugal}, address = {{P}orto, {PORTUGAL}}, month = {04}, url = {} }
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