Batch-Light: An adaptive intelligent intersection control policy for autonomous vehicles

The existing intelligent intersection management solutions try to leverage global positioning, wireless communications, in-vehicle sensing and computation technologies to enable autonomous vehicles to drive through the non-signal urban intersections safely and efficiently. Control policy as the brai...

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Published in:2014 IEEE International Conference on Progress in Informatics and Computing pp. 98 - 103
Main Authors: Xin Wei, Guozhen Tan, Nan Ding
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2014
Subjects:
Batch production systems
Color
control policy
Delays
Educational institutions
intelligent intersection management
Mobile robots
multi-agent system
Roads
Vehicles
ISBN:9781479920334, 1479920339
Online Access:Get full text
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Abstract The existing intelligent intersection management solutions try to leverage global positioning, wireless communications, in-vehicle sensing and computation technologies to enable autonomous vehicles to drive through the non-signal urban intersections safely and efficiently. Control policy as the brain of the whole system has a direct impact on system performance. This paper proposes a reservation-based control policy called Batch-Light which can make full use of existing Intelligent Transportation System (ITS) technologies to make the management system adaptive to constantly changing traffic. A greedy-based Conflict Matrix decision algorithm is proposed to get more vehicles reserve successfully on the premise of ensuring certain fairness. Furthermore, a k-Shift optimization algorithm is proposed to help some unlucky vehicles to pass through the intersection as much as possible by acceleration or deceleration. Our experiment results show that Batch-Light outperforms FCFS and traditional traffic signal control policy both in unbalanced traffic and balanced traffic.
AbstractList The existing intelligent intersection management solutions try to leverage global positioning, wireless communications, in-vehicle sensing and computation technologies to enable autonomous vehicles to drive through the non-signal urban intersections safely and efficiently. Control policy as the brain of the whole system has a direct impact on system performance. This paper proposes a reservation-based control policy called Batch-Light which can make full use of existing Intelligent Transportation System (ITS) technologies to make the management system adaptive to constantly changing traffic. A greedy-based Conflict Matrix decision algorithm is proposed to get more vehicles reserve successfully on the premise of ensuring certain fairness. Furthermore, a k-Shift optimization algorithm is proposed to help some unlucky vehicles to pass through the intersection as much as possible by acceleration or deceleration. Our experiment results show that Batch-Light outperforms FCFS and traditional traffic signal control policy both in unbalanced traffic and balanced traffic.
Author Guozhen Tan
Nan Ding
Xin Wei
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  surname: Guozhen Tan
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  surname: Nan Ding
  fullname: Nan Ding
  email: dingnan@dlut.edu.cn
  organization: Sch. of Comput. Sci. & Technol., Dalian Univ. of Technol., Dalian, China
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Snippet The existing intelligent intersection management solutions try to leverage global positioning, wireless communications, in-vehicle sensing and computation...
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SubjectTerms Batch production systems
Color
control policy
Delays
Educational institutions
intelligent intersection management
Mobile robots
multi-agent system
Roads
Vehicles
Title Batch-Light: An adaptive intelligent intersection control policy for autonomous vehicles
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