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Urban travel time reliability at different traffic conditions
| 题名： | Urban travel time reliability at different traffic conditions |
| 正文语种： | 英文 |
| 作者： | Fangfang Zheng; Jie Li; Henk van Zuylen; Xiaobo Liu; Hongtai Yang |
| 作者单位： | School of Transportation and Logistics, Southwest Jiaotong University; National-local Association Laboratory of Comprehensive Transportation Intelligentization,Southwest Jiaotong University; Department of Traffic and Road Engineering, Civil Engineering College, Hunan University; Department of Transport & Planning, Faculty of Civil Engineering and Geosciences, Delft University of Technology |
| 关键词： | Travel time reliability; Skewness; Travel time standard deviation; Automated number plate recognition; Urban traffic. |
| 摘要： | The decision making of travelers for route choice and departure time choice depends on the expected travel time and its reliability. A common understanding of reliability is that it is related to several statistical properties of the travel time distribution, especially to the standard deviation of the travel time and also to the skewness. For an important corridor in Changsha (P.R. China) the travel time reliability has been evaluated and a linear model is proposed for the relationship between travel time, standard deviation, skewness and some other traffic characteristics. Statistical analysis is done for both simulation data from a delay distribution model and for real life data from Automated Number Plate Recognition (ANPR) cameras. ANPR data give unbiased travel time data, which is more representative than probe vehicles. The relationship between the mean travel time and its standard deviation is verified with an analytical model for travel time distributions as well as with the ANPR travel times. Average travel time and the standard deviation are linearly correlated for single links as well as corridors. Other influence factors are related to skewness and travel time standard deviations, such as vehicle density and degree of saturation. Skewness appears to be less well to explain from traffic characteristics than the standard deviation is. |
| 出版年： | 2018 |
| 期刊名称： | Journal of Intelligent Transportation Systems Technology Planning and Operations |
| 卷： | 22 |
| 期： | 2 |
| 页码： | 106-120 |
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