A decentralised approach to intersection traffic management
A decentralised approach to intersection traffic management
Traffic congestion has a significant impact on quality of life and the economy. This paper presents a decentralised traffic management mechanism for intersections using a distributed constraint optimisation approach (DCOP). Our solution outperforms the state of the art solution both for stable traffic conditions (about 60% reduced waiting time) and robustness to unpredictable events.
527-533
International Joint Conferences on Artificial Intelligence
Vu, Huan
c449d2eb-3e83-4192-9ff3-3d028d4eb1a3
Aknine, Samir
13a45f58-986a-4bdc-9fe7-6c1535ce16a6
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
2018
Vu, Huan
c449d2eb-3e83-4192-9ff3-3d028d4eb1a3
Aknine, Samir
13a45f58-986a-4bdc-9fe7-6c1535ce16a6
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
Vu, Huan, Aknine, Samir and Ramchurn, Sarvapali
(2018)
A decentralised approach to intersection traffic management.
In Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018.
vol. 2018-July,
International Joint Conferences on Artificial Intelligence.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Traffic congestion has a significant impact on quality of life and the economy. This paper presents a decentralised traffic management mechanism for intersections using a distributed constraint optimisation approach (DCOP). Our solution outperforms the state of the art solution both for stable traffic conditions (about 60% reduced waiting time) and robustness to unpredictable events.
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Published date: 2018
Venue - Dates:
International Joint Conference on Artificial Intelligence, , Stockholm, Sweden, 2018-07-13 - 2018-07-19
Identifiers
Local EPrints ID: 426264
URI: http://eprints.soton.ac.uk/id/eprint/426264
PURE UUID: 7d05b3f3-f863-468d-ba38-a45d487bcf04
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Date deposited: 21 Nov 2018 17:30
Last modified: 06 Mar 2024 02:41
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Contributors
Author:
Huan Vu
Author:
Samir Aknine
Author:
Sarvapali Ramchurn
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