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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| Veröffentlicht in: | 2014 IEEE International Conference on Progress in Informatics and Computing S. 98 - 103 |
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| Hauptverfasser: | , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
IEEE
01.05.2014
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| Schlagworte: | |
| ISBN: | 9781479920334, 1479920339 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | 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. |
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| ISBN: | 9781479920334 1479920339 |
| DOI: | 10.1109/PIC.2014.6972304 |