A decentralized intersection management system through collaborative negotiation between smart signals

Author(s):  
Russell T. Graves ◽  
Zachariah E. Nelson ◽  
Subhadeep Chakraborty
Author(s):  
Kurt Dresner ◽  
Peter Stone ◽  
Mark Van Middlesworth

Fully autonomous vehicles promise enormous gains in safety, efficiency, and economy for transportation. In previous work, the authors of this chapter have introduced a system for managing autonomous vehicles at intersections that is capable of handling more vehicles and causing fewer delays than modern- day mechanisms such as traffic lights and stop signs [Dresner & Stone 2005]. This system makes two assumptions about the problem domain: that special infrastructure is present at each intersection, and that vehicles do not experience catastrophic physical malfunctions. In this chapter, they explore two separate extensions to their original work, each of which relaxes one of these assumptions. They demonstrate that for certain types of intersections—namely those with moderate to low amounts of traffic—a completely decentralized, peer-to-peer intersection management system can reap many of the benefits of a centralized system without the need for special infrastructure at the intersection. In the second half of the chapter, they show that their previously proposed intersection control mechanism can dramatically mitigate the effects of catastrophic physical malfunctions in vehicles such that in addition to being more efficient, autonomous intersections will be far safer than traditional intersections are today.


Author(s):  
Sergey Chuprov ◽  
Ilia Viksnin ◽  
Iuliia Kim ◽  
Nikita Tursukov ◽  
Gleb Nedosekin

With the growing number of cars in the world, there are corresponding problems that society needs to solve. In metropolises, intersections are generators of traffic jams and traffic accidents. The introduction of unmanned autonomous vehicles is one of the solutions to increase safety on the road. To avoid traffic jams, it is necessary to optimize road traffic. This article proposes a model of the intersection management system. The system aims to organize a conflict-free, safe, and optimal traversal of AVs within the framework of the intelligent transport system of a smart city. The model assumes that at each intersection there are objects of transport infrastructure responsible for building routes at the intersection. To assess the feasibility of the presented model, the authors developed a custom software simulator of a network of urban intersections and conducted experiments. Based on simulation experiments, the use of the developed model can significantly reduce the time spent by unmanned vehicles to overcome the intersection compared to traffic lights.


IJIREEICE ◽  
2017 ◽  
Vol 5 (6) ◽  
pp. 10-17
Author(s):  
Shaikh Mohd Rahil ◽  
Shreelaxmi S ◽  
Suhas Meti ◽  
Vishwanath G.N ◽  
Ganesh Shetty

2016 ◽  
Vol 22 ◽  
pp. 328
Author(s):  
Joseph Aloi ◽  
Jagdeesh Ullal ◽  
Paul Chidester ◽  
Amy Henderson ◽  
Robby Booth ◽  
...  

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