Paper Seminar

STIP: Spatio-Temporal Intersection Protocols for Autonomous Vehicles

2015-05-21 11:43
Autonomous driving is likely to be the heart of urban
transportation in the future. Autonomous vehicles have the
potential to increase the safety of passengers and also to
make road trips shorter and more enjoyable. As the first
steps toward these goals, many car manufacturers are
investing in designing and equipping their vehicles with
advanced driver-assist systems. Road intersections are
considered to be serious bottlenecks of urban
transportation, as more than 44% of all reported crashes in
U.S. occur within intersection areas which in turn lead to
8,500 fatalities and approximately 1 million injuries every
year. Furthermore, the impact of road intersections on
traffic delays leads to enormous waste of human and
natural resources. In this paper, we therefore focus on
intersection management in Intelligent Transportation
Systems (ITS) research. In the future, when dealing with
autonomous vehicles, it is critical to address safety and
throughput concerns that arise from autonomous driving
through intersections and roundabouts.
Our goal is to provide vehicles with a safe and efficient
passage method through intersections and roundabouts. We
have been investigating vehicle-to-vehicle (V2V)
communications as a part of co-operative driving in the
context of autonomous driving. We have designed and
developed efficient and reliable intersection protocols to
avoid vehicle collisions at intersections and increase traffic
throughput. In this paper, we introduce new V2V
intersection protocols to achieve the above goals. We show
that, in addition to intersections, these protocols are also
applicable to vehicle crossings at roundabouts.
Additionally, we study the effects of position inaccuracy of
commonly-used GPS devices on some of our V2V
intersection protocols and suggest required modifications to
guarantee their safety and efficiency despite these
impairments. Our simulation results show that we are able
to avoid collisions and also increase the throughput of the
intersections up to 87.82% compared to common trafficlight
signalized intersections.
Attachment : STIP.pptx