Shared Autonomous Taxi System and Utilization of Collected Travel-Time Information
Shared autonomous taxi systems (SATS) are being regarded as a promising means of improving travel flexibility. Each shared autonomous taxi (SAT) requires very precise traffic information to independently and accurately select its route. In this study, taxis were replaced with ride-sharing autonomous...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2018/8919721 |
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| _version_ | 1832563121593516032 |
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| author | Zhiguang Liu Tomio Miwa Weiliang Zeng Michael G. H. Bell Takayuki Morikawa |
| author_facet | Zhiguang Liu Tomio Miwa Weiliang Zeng Michael G. H. Bell Takayuki Morikawa |
| author_sort | Zhiguang Liu |
| collection | DOAJ |
| description | Shared autonomous taxi systems (SATS) are being regarded as a promising means of improving travel flexibility. Each shared autonomous taxi (SAT) requires very precise traffic information to independently and accurately select its route. In this study, taxis were replaced with ride-sharing autonomous vehicles, and the potential benefits of utilizing collected travel-time information for path finding in the new taxi system examined. Specifically, four categories of available SATs for every taxi request were considered: currently empty, expected-empty, currently sharable, and expected-sharable. Two simulation scenarios—one based on historical traffic information and the other based on real-time traffic information—were developed to examine the performance of information use in a SATS. Interestingly, in the historical traffic information-based scenario, the mean travel time for taxi requests and private vehicle users decreased significantly in the first several simulation days and then remained stable as the number of simulation days increased. Conversely, in the real-time information-based scenario, the mean travel time was constant. As the SAT fleet size increased, the total travel time for taxi requests significantly decreased, and convergence occurred earlier in the historical information-based scenario. The results demonstrate that historical traffic information is better than real-time traffic information for path finding in SATS. |
| format | Article |
| id | doaj-art-e66496693b7e4c8cb205e02f30155b4c |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-e66496693b7e4c8cb205e02f30155b4c2025-02-03T01:20:58ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/89197218919721Shared Autonomous Taxi System and Utilization of Collected Travel-Time InformationZhiguang Liu0Tomio Miwa1Weiliang Zeng2Michael G. H. Bell3Takayuki Morikawa4Department of Civil Engineering, Nagoya University, Nagoya 464-8603, JapanInstitute of Materials and Systems for Sustainability, Nagoya University, Nagoya 464-8603, JapanSchool of Automation, Guangdong University of Technology, Guangzhou, Guangdong 510006, ChinaInstitute of Transport and Logistics Studies, Business School, The University of Sydney, Sydney, NSW, AustraliaInstitute of Innovation for Future Society, Nagoya University, Nagoya 464-8603, JapanShared autonomous taxi systems (SATS) are being regarded as a promising means of improving travel flexibility. Each shared autonomous taxi (SAT) requires very precise traffic information to independently and accurately select its route. In this study, taxis were replaced with ride-sharing autonomous vehicles, and the potential benefits of utilizing collected travel-time information for path finding in the new taxi system examined. Specifically, four categories of available SATs for every taxi request were considered: currently empty, expected-empty, currently sharable, and expected-sharable. Two simulation scenarios—one based on historical traffic information and the other based on real-time traffic information—were developed to examine the performance of information use in a SATS. Interestingly, in the historical traffic information-based scenario, the mean travel time for taxi requests and private vehicle users decreased significantly in the first several simulation days and then remained stable as the number of simulation days increased. Conversely, in the real-time information-based scenario, the mean travel time was constant. As the SAT fleet size increased, the total travel time for taxi requests significantly decreased, and convergence occurred earlier in the historical information-based scenario. The results demonstrate that historical traffic information is better than real-time traffic information for path finding in SATS.http://dx.doi.org/10.1155/2018/8919721 |
| spellingShingle | Zhiguang Liu Tomio Miwa Weiliang Zeng Michael G. H. Bell Takayuki Morikawa Shared Autonomous Taxi System and Utilization of Collected Travel-Time Information Journal of Advanced Transportation |
| title | Shared Autonomous Taxi System and Utilization of Collected Travel-Time Information |
| title_full | Shared Autonomous Taxi System and Utilization of Collected Travel-Time Information |
| title_fullStr | Shared Autonomous Taxi System and Utilization of Collected Travel-Time Information |
| title_full_unstemmed | Shared Autonomous Taxi System and Utilization of Collected Travel-Time Information |
| title_short | Shared Autonomous Taxi System and Utilization of Collected Travel-Time Information |
| title_sort | shared autonomous taxi system and utilization of collected travel time information |
| url | http://dx.doi.org/10.1155/2018/8919721 |
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