Collection Auctions-Based Autonomous Intersection Management
The traffic management system holds immense importance due to its significant impact on human living standards. With the advent of advanced technologies such as natural language processing and autonomous vehicles, this study proposes a novel cooperative traffic management system based on collection...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-05-01
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| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/11/5/573 |
| _version_ | 1797599412965343232 |
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| author | Jinjian Li Biao Yin Yong Fang |
| author_facet | Jinjian Li Biao Yin Yong Fang |
| author_sort | Jinjian Li |
| collection | DOAJ |
| description | The traffic management system holds immense importance due to its significant impact on human living standards. With the advent of advanced technologies such as natural language processing and autonomous vehicles, this study proposes a novel cooperative traffic management system based on collection auctions at an isolated unsignalized intersection, taking into account the users’ preferences for passing the intersection while being subject to their social credits. Once vehicles enter the vehicle-to-infrastructure communication zone, drivers provide the intersection control center with their bidding information, which reflects their urgency for right-of-way. According to the traffic and biding information, the vehicles’ passing sequence is optimized by the control center, in order to maximize the drivers’ average satisfaction. To demonstrate the effectiveness of the proposed system, a series of simulation experiments were conducted under varying traffic volumes. The simulation results were then compared with several other traffic control systems from the literature. It was shown that the proposed algorithm demonstrates superior performance in terms of computational time, traffic delay, and drivers’ personal satisfaction. |
| first_indexed | 2024-03-11T03:34:02Z |
| format | Article |
| id | doaj.art-feafaa8dae224c19a73fdce1b2bd6a94 |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-03-11T03:34:02Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-feafaa8dae224c19a73fdce1b2bd6a942023-11-18T02:12:05ZengMDPI AGMachines2075-17022023-05-0111557310.3390/machines11050573Collection Auctions-Based Autonomous Intersection ManagementJinjian Li0Biao Yin1Yong Fang2College of Language Intelligence, Sichuan International Studies University, Chongqing 400031, ChinaLVMT, Ecole des Ponts ParisTech, Université Gustave Eiffel, 77420 Champs-sur-Marne, FranceTraffic and Transportation School, Chongqing Jiaotong University, Chongqing 400074, ChinaThe traffic management system holds immense importance due to its significant impact on human living standards. With the advent of advanced technologies such as natural language processing and autonomous vehicles, this study proposes a novel cooperative traffic management system based on collection auctions at an isolated unsignalized intersection, taking into account the users’ preferences for passing the intersection while being subject to their social credits. Once vehicles enter the vehicle-to-infrastructure communication zone, drivers provide the intersection control center with their bidding information, which reflects their urgency for right-of-way. According to the traffic and biding information, the vehicles’ passing sequence is optimized by the control center, in order to maximize the drivers’ average satisfaction. To demonstrate the effectiveness of the proposed system, a series of simulation experiments were conducted under varying traffic volumes. The simulation results were then compared with several other traffic control systems from the literature. It was shown that the proposed algorithm demonstrates superior performance in terms of computational time, traffic delay, and drivers’ personal satisfaction.https://www.mdpi.com/2075-1702/11/5/573language intelligencetraffic management systempersonal preferencesocial creditoptimization |
| spellingShingle | Jinjian Li Biao Yin Yong Fang Collection Auctions-Based Autonomous Intersection Management Machines language intelligence traffic management system personal preference social credit optimization |
| title | Collection Auctions-Based Autonomous Intersection Management |
| title_full | Collection Auctions-Based Autonomous Intersection Management |
| title_fullStr | Collection Auctions-Based Autonomous Intersection Management |
| title_full_unstemmed | Collection Auctions-Based Autonomous Intersection Management |
| title_short | Collection Auctions-Based Autonomous Intersection Management |
| title_sort | collection auctions based autonomous intersection management |
| topic | language intelligence traffic management system personal preference social credit optimization |
| url | https://www.mdpi.com/2075-1702/11/5/573 |
| work_keys_str_mv | AT jinjianli collectionauctionsbasedautonomousintersectionmanagement AT biaoyin collectionauctionsbasedautonomousintersectionmanagement AT yongfang collectionauctionsbasedautonomousintersectionmanagement |