DocumentCode :
114598
Title :
Polling-systems-based control of high-performance provably-safe autonomous intersections
Author :
Miculescu, David ; Karaman, Sertac
Author_Institution :
Dept. of Aeronaut. & Astronaut., Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear :
2014
fDate :
15-17 Dec. 2014
Firstpage :
1417
Lastpage :
1423
Abstract :
The rapid development of autonomous vehicles spurred a careful investigation of the potential benefits of all-autonomous transportation networks. Most studies conclude that autonomous systems can enable drastic improvements in performance. A widely studied concept is all-autonomous, collision-free intersections, where vehicles arriving in a traffic intersection with no traffic light adjust their speeds to cross through the intersection as quickly as possible. In this paper, we propose a coordination control algorithm for this problem, assuming stochastic models for the arrival times of the vehicles. The proposed algorithm provides provable guarantees on safety and performance. More precisely, it is shown that no collisions occur surely, and moreover a rigorous upper bound is provided for the expected wait time. The algorithm is also demonstrated in simulations. The proposed algorithms are inspired by polling systems. In fact, the problem studied in this paper leads to a new polling system where customers are subject to differential constraints, which may be interesting in its own right.
Keywords :
mobile robots; road traffic control; road vehicles; stochastic processes; autonomous transportation networks; autonomous vehicles; collision-free intersections; coordination control algorithm; differential constraints; high-performance provably-safe autonomous intersections; polling-systems-based control; stochastic models; traffic intersection; Delays; Queueing analysis; Safety; Servers; Trajectory; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
Type :
conf
DOI :
10.1109/CDC.2014.7039600
Filename :
7039600
Link To Document :
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