Examining the Impact of Adverse Weather on Travel Time Reliability of Urban Corridors in Shanghai
Travel time reliability (TTR) is widely used to evaluate transportation system performance. Adverse weather condition is an important factor for affecting TTR, which can cause traffic congestions and crashes. Considering the traffic characteristics under different traffic conditions, it is necessary...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/8860277 |
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| author | Yajie Zou Ting Zhu Yifan Xie Linbo Li Ying Chen |
| author_facet | Yajie Zou Ting Zhu Yifan Xie Linbo Li Ying Chen |
| author_sort | Yajie Zou |
| collection | DOAJ |
| description | Travel time reliability (TTR) is widely used to evaluate transportation system performance. Adverse weather condition is an important factor for affecting TTR, which can cause traffic congestions and crashes. Considering the traffic characteristics under different traffic conditions, it is necessary to explore the impact of adverse weather on TTR under different conditions. This study conducted an empirical travel time analysis using traffic data and weather data collected on Yanan corridor in Shanghai. The travel time distributions were analysed under different roadway types, weather, and time of day. Four typical scenarios (i.e., peak hours and off-peak hours on elevated expressway, peak hours and off-peak hours on arterial road) were considered in the TTR analysis. Four measures were calculated to evaluate the impact of adverse weather on TTR. The results indicated that the lognormal distribution is preferred for describing the travel time data. Compared with off-peak hours, the impact of adverse weather is more significant for peak hours. The travel time variability, buffer time index, misery index, and frequency of congestion increased by an average of 29%, 19%, 22%, and 63%, respectively, under the adverse weather condition. The findings in this study are useful for transportation management agencies to design traffic control strategies when adverse weather occurs. |
| format | Article |
| id | doaj-art-cc3e6877e5ae4b298c76112c60b6e2d3 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-cc3e6877e5ae4b298c76112c60b6e2d32025-02-03T06:05:30ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/88602778860277Examining the Impact of Adverse Weather on Travel Time Reliability of Urban Corridors in ShanghaiYajie Zou0Ting Zhu1Yifan Xie2Linbo Li3Ying Chen4Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, ChinaSchool of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, ChinaTravel time reliability (TTR) is widely used to evaluate transportation system performance. Adverse weather condition is an important factor for affecting TTR, which can cause traffic congestions and crashes. Considering the traffic characteristics under different traffic conditions, it is necessary to explore the impact of adverse weather on TTR under different conditions. This study conducted an empirical travel time analysis using traffic data and weather data collected on Yanan corridor in Shanghai. The travel time distributions were analysed under different roadway types, weather, and time of day. Four typical scenarios (i.e., peak hours and off-peak hours on elevated expressway, peak hours and off-peak hours on arterial road) were considered in the TTR analysis. Four measures were calculated to evaluate the impact of adverse weather on TTR. The results indicated that the lognormal distribution is preferred for describing the travel time data. Compared with off-peak hours, the impact of adverse weather is more significant for peak hours. The travel time variability, buffer time index, misery index, and frequency of congestion increased by an average of 29%, 19%, 22%, and 63%, respectively, under the adverse weather condition. The findings in this study are useful for transportation management agencies to design traffic control strategies when adverse weather occurs.http://dx.doi.org/10.1155/2020/8860277 |
| spellingShingle | Yajie Zou Ting Zhu Yifan Xie Linbo Li Ying Chen Examining the Impact of Adverse Weather on Travel Time Reliability of Urban Corridors in Shanghai Journal of Advanced Transportation |
| title | Examining the Impact of Adverse Weather on Travel Time Reliability of Urban Corridors in Shanghai |
| title_full | Examining the Impact of Adverse Weather on Travel Time Reliability of Urban Corridors in Shanghai |
| title_fullStr | Examining the Impact of Adverse Weather on Travel Time Reliability of Urban Corridors in Shanghai |
| title_full_unstemmed | Examining the Impact of Adverse Weather on Travel Time Reliability of Urban Corridors in Shanghai |
| title_short | Examining the Impact of Adverse Weather on Travel Time Reliability of Urban Corridors in Shanghai |
| title_sort | examining the impact of adverse weather on travel time reliability of urban corridors in shanghai |
| url | http://dx.doi.org/10.1155/2020/8860277 |
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