Analysis on Link Travel Time Estimation considering Time Headway Based on Urban Road RFID Data
In this paper, the calculation method of the link travel time is firstly analysed in the continuous traffic flow by using the detection data collected when vehicles pass through urban links, and a theoretical derivation formula for estimating link travel time is proposed by considering the typical v...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/8876626 |
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| _version_ | 1832550825091661824 |
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| author | Jian Gu Miaohua Li Linghua Yu Shun Li Kejun Long |
| author_facet | Jian Gu Miaohua Li Linghua Yu Shun Li Kejun Long |
| author_sort | Jian Gu |
| collection | DOAJ |
| description | In this paper, the calculation method of the link travel time is firstly analysed in the continuous traffic flow by using the detection data collected when vehicles pass through urban links, and a theoretical derivation formula for estimating link travel time is proposed by considering the typical vehicle travel time and the time headway deviation upstream and downstream of the links as the main parameters. A typical vehicle analysis method based on link travel time similarity is proposed, and the theoretical formula is optimized, respectively. Then, an estimation formula based on maximum travel time similarity and an estimation formula based on maximum travel time confidence interval similarity are proposed, respectively. Finally, when analysing the fitting conditions, the collected data from urban roads in Nanjing are used to verify the proposed travel time estimation method based on the radio frequency identification devices. The results show that time headway deviation converges to zero when the hourly vehicle volume is more than 20 veh/h in the certain flow direction, and there are more positive and negative fluctuations when the hourly vehicle volume is less than 10 veh/h in the certain flow direction. The accuracy of the proposed improved method based on typical vehicle travel time estimation is significantly improved by considering the typical vehicle travel time, and typical vehicles on the road segment mainly exist at the tail of the traffic platoon in the corresponding period. |
| format | Article |
| id | doaj-art-3a70784da25147d199a6c8863e94f6d4 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-3a70784da25147d199a6c8863e94f6d42025-02-03T06:05:44ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/88766268876626Analysis on Link Travel Time Estimation considering Time Headway Based on Urban Road RFID DataJian Gu0Miaohua Li1Linghua Yu2Shun Li3Kejun Long4Engineering Research Center of Catastrophic Prophylaxis and Treatment of Road & Traffic Safety of Ministry of Education, Changsha University of Science & Technology, Changsha 410114, Hunan, ChinaHunan Communications Research Institute Co., Ltd., Changsha 410000, Hunan, ChinaSchool of Transportation, Southeast University, Nanjing, Jiangsu 211189, ChinaSchool of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410004, ChinaSchool of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410004, ChinaIn this paper, the calculation method of the link travel time is firstly analysed in the continuous traffic flow by using the detection data collected when vehicles pass through urban links, and a theoretical derivation formula for estimating link travel time is proposed by considering the typical vehicle travel time and the time headway deviation upstream and downstream of the links as the main parameters. A typical vehicle analysis method based on link travel time similarity is proposed, and the theoretical formula is optimized, respectively. Then, an estimation formula based on maximum travel time similarity and an estimation formula based on maximum travel time confidence interval similarity are proposed, respectively. Finally, when analysing the fitting conditions, the collected data from urban roads in Nanjing are used to verify the proposed travel time estimation method based on the radio frequency identification devices. The results show that time headway deviation converges to zero when the hourly vehicle volume is more than 20 veh/h in the certain flow direction, and there are more positive and negative fluctuations when the hourly vehicle volume is less than 10 veh/h in the certain flow direction. The accuracy of the proposed improved method based on typical vehicle travel time estimation is significantly improved by considering the typical vehicle travel time, and typical vehicles on the road segment mainly exist at the tail of the traffic platoon in the corresponding period.http://dx.doi.org/10.1155/2021/8876626 |
| spellingShingle | Jian Gu Miaohua Li Linghua Yu Shun Li Kejun Long Analysis on Link Travel Time Estimation considering Time Headway Based on Urban Road RFID Data Journal of Advanced Transportation |
| title | Analysis on Link Travel Time Estimation considering Time Headway Based on Urban Road RFID Data |
| title_full | Analysis on Link Travel Time Estimation considering Time Headway Based on Urban Road RFID Data |
| title_fullStr | Analysis on Link Travel Time Estimation considering Time Headway Based on Urban Road RFID Data |
| title_full_unstemmed | Analysis on Link Travel Time Estimation considering Time Headway Based on Urban Road RFID Data |
| title_short | Analysis on Link Travel Time Estimation considering Time Headway Based on Urban Road RFID Data |
| title_sort | analysis on link travel time estimation considering time headway based on urban road rfid data |
| url | http://dx.doi.org/10.1155/2021/8876626 |
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