Toward edge-computing-enabled collision-free scheduling management for autonomous vehicles at unsignalized intersections
With the support of Vehicle-to-Everything (V2X) technology and computing power networks, the existing intersection traffic order is expected to benefit from efficiency improvements and energy savings by new schemes such as de-signalization. How to effectively manage autonomous vehicles for traffic c...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2024-12-01
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| Series: | Digital Communications and Networks |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352864824000270 |
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| _version_ | 1846101608897708032 |
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| author | Ziyi Lu Tianxiong Wu Jinshan Su Yunting Xu Bo Qian Tianqi Zhang Haibo Zhou |
| author_facet | Ziyi Lu Tianxiong Wu Jinshan Su Yunting Xu Bo Qian Tianqi Zhang Haibo Zhou |
| author_sort | Ziyi Lu |
| collection | DOAJ |
| description | With the support of Vehicle-to-Everything (V2X) technology and computing power networks, the existing intersection traffic order is expected to benefit from efficiency improvements and energy savings by new schemes such as de-signalization. How to effectively manage autonomous vehicles for traffic control with high throughput at unsignalized intersections while ensuring safety has been a research hotspot. This paper proposes a collision-free autonomous vehicle scheduling framework based on edge-cloud computing power networks for unsignalized intersections where the lanes entering the intersections are undirectional, and designs an efficient communication system and protocol. First, by analyzing the collision point occupation time, this paper formulates an absolute value programming problem. Second, this problem is solved with low complexity by the Edge Intelligence Optimal Entry Time (EI-OET) algorithm based on edge-cloud computing power support. Then, the communication system and protocol are designed for the proposed scheduling scheme to realize efficient and low-latency vehicular communications. Finally, simulation experiments compare the proposed scheduling framework with directional and traditional traffic light scheduling mechanisms, and the experimental results demonstrate its high efficiency, low latency, and low complexity. |
| format | Article |
| id | doaj-art-1e378ee657f944fa9311da63908c437c |
| institution | Kabale University |
| issn | 2352-8648 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Digital Communications and Networks |
| spelling | doaj-art-1e378ee657f944fa9311da63908c437c2024-12-29T04:47:38ZengKeAi Communications Co., Ltd.Digital Communications and Networks2352-86482024-12-0110616001610Toward edge-computing-enabled collision-free scheduling management for autonomous vehicles at unsignalized intersectionsZiyi Lu0Tianxiong Wu1Jinshan Su2Yunting Xu3Bo Qian4Tianqi Zhang5Haibo Zhou6School of Electronic Science and Engineering, Nanjing University, Nanjing, 210023, ChinaSchool of Electronic Science and Engineering, Nanjing University, Nanjing, 210023, ChinaKey Laboratory of Vibration Signal Capture and Intelligent Processing, Yili Normal University, Xinjiang, 835000, China; Corresponding authors.School of Electronic Science and Engineering, Nanjing University, Nanjing, 210023, ChinaDepartment of Mathematics and Theories, Peng Cheng Laboratory, Shenzhen, 518000, ChinaSchool of Electronic Science and Engineering, Nanjing University, Nanjing, 210023, ChinaSchool of Electronic Science and Engineering, Nanjing University, Nanjing, 210023, China; Corresponding authors.With the support of Vehicle-to-Everything (V2X) technology and computing power networks, the existing intersection traffic order is expected to benefit from efficiency improvements and energy savings by new schemes such as de-signalization. How to effectively manage autonomous vehicles for traffic control with high throughput at unsignalized intersections while ensuring safety has been a research hotspot. This paper proposes a collision-free autonomous vehicle scheduling framework based on edge-cloud computing power networks for unsignalized intersections where the lanes entering the intersections are undirectional, and designs an efficient communication system and protocol. First, by analyzing the collision point occupation time, this paper formulates an absolute value programming problem. Second, this problem is solved with low complexity by the Edge Intelligence Optimal Entry Time (EI-OET) algorithm based on edge-cloud computing power support. Then, the communication system and protocol are designed for the proposed scheduling scheme to realize efficient and low-latency vehicular communications. Finally, simulation experiments compare the proposed scheduling framework with directional and traditional traffic light scheduling mechanisms, and the experimental results demonstrate its high efficiency, low latency, and low complexity.http://www.sciencedirect.com/science/article/pii/S2352864824000270Unsignalized intersectionAutomatic vehicle schedulingEdge computingCommunication protocolComputing power network |
| spellingShingle | Ziyi Lu Tianxiong Wu Jinshan Su Yunting Xu Bo Qian Tianqi Zhang Haibo Zhou Toward edge-computing-enabled collision-free scheduling management for autonomous vehicles at unsignalized intersections Digital Communications and Networks Unsignalized intersection Automatic vehicle scheduling Edge computing Communication protocol Computing power network |
| title | Toward edge-computing-enabled collision-free scheduling management for autonomous vehicles at unsignalized intersections |
| title_full | Toward edge-computing-enabled collision-free scheduling management for autonomous vehicles at unsignalized intersections |
| title_fullStr | Toward edge-computing-enabled collision-free scheduling management for autonomous vehicles at unsignalized intersections |
| title_full_unstemmed | Toward edge-computing-enabled collision-free scheduling management for autonomous vehicles at unsignalized intersections |
| title_short | Toward edge-computing-enabled collision-free scheduling management for autonomous vehicles at unsignalized intersections |
| title_sort | toward edge computing enabled collision free scheduling management for autonomous vehicles at unsignalized intersections |
| topic | Unsignalized intersection Automatic vehicle scheduling Edge computing Communication protocol Computing power network |
| url | http://www.sciencedirect.com/science/article/pii/S2352864824000270 |
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