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Saturation Flow Rate at the Work Zone-Straddled Intersections with Interweaving Movements: Lane-Based Modeling Study
| 题名： | Saturation Flow Rate at the Work Zone-Straddled Intersections with Interweaving Movements: Lane-Based Modeling Study |
| 正文语种： | eng |
| 作者： | Zhangcun Yan;Duo Zhang;Xiaozhao Lu;Qiyuan Liu;Yinhai Wang;Jian Sun |
| 作者单位： | Key Laboratory of Road and Traffic Engineering of Ministry of Education Tongji Univ. Shanghai 201804 China;Key Laboratory of Road and Traffic Engineering of Ministry of Education Tongji Univ. Shanghai 201804 China;School of Transportation and Logistics Southwest Jiaotong Univ. Chengdu 610031 China;Postdoctoral Station of Mechanical Engineering & Clean Energy Automotive Engineering Center School of Automotive Studies Tongji Univ. Shanghai 201804 China;Smart Transportation Application and Research Lab Dept. of Civil and Environmental Engineering Univ. of Washington Seattle WA 98195;Key Laboratory of Road and Traffic Engineering of Ministry of Education Tongji Univ. Shanghai 201804 China |
| 关键词： | Work zone construction; Saturated flow rate; Construction intersection with interweaving movements (CIWIM); Lane-changing behavior; Box-Cox model; Highway Capacity Manual (HCM) model; Schroeder's model |
| 摘要： | This study explored how the presence of work zones could influence the saturation flow rate (SFR) prevailing at an intersection. Specifically, it researched construction-ridden intersections with interweaving movements (CIWIMs) of vehicle flows that proceed across the stop line and down the connective lanes on the downstream approach to the adjacent intersection. First, image recognition and tracking algorithms were used to extract 2,545 vehicle trajectories from the video captured on-site. Then, the trajectories were manipulated based on lanes to obtain the saturated headway time of the entry-lane stop line during effective green time and the variables related to lane-change behaviors after passing the stop line (e.g., lane-change percentage, lane-change position, lorry percentage, and average passing speed). In addition, certain linear and nonlinear regression methods were employed to estimate lane-focused SFR models in a parsimonious fashion. Subsequently, the Highway Capacity Manual (HCM) model, along with Schroeder's model, was pairwise compared with the newly proposed Box-Cox model for validation. The results indicate that the mean errors are 28.86% and 17.70% for the HCM and Schroeder's models, respectively, while the estimation error for the Box-Cox model is merely 7.20%. This sensitivity analysis reveals that the proportion of bidirectional lane changes, spatial use rate of lane changes, and proportion of heavier vehicles significantly compromises the CIWIM-based SFR. One important finding is that the models accounting for microscopic channel-change behaviors, with higher estimation accuracy compared with existing models, can also be used for traffic simulation parameter calibration and road delay estimation to obtain higher validity and precision. |
| 出版年： | 2022 |
| 期刊名称： | Journal of Transportation Engineering |
| 卷： | 148 |
| 期： | 10 |
| 页码： | 04022088.1-04022088.15 |
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