Expressway Usage Pattern Analysis Based on Tollgate Data: A Case Study of the Shandong Province, China
Expressway transportation is an essential part of regional development. An efficient expressway system can enhance cities’ connectivity and coordinate long-distance trips between urban areas. Understanding how travel demand affects the flow of expressways is crucial to designing an efficient express...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2023/2910454 |
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| _version_ | 1832546606415609856 |
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| author | Chengcheng Wang Xiaoe Ding Chao Wang Mengqi Lv Run Xu Yufeng Bi Zhiren Huang |
| author_facet | Chengcheng Wang Xiaoe Ding Chao Wang Mengqi Lv Run Xu Yufeng Bi Zhiren Huang |
| author_sort | Chengcheng Wang |
| collection | DOAJ |
| description | Expressway transportation is an essential part of regional development. An efficient expressway system can enhance cities’ connectivity and coordinate long-distance trips between urban areas. Understanding how travel demand affects the flow of expressways is crucial to designing an efficient expressway management system. However, congested expressways are substantial obstacles to unimpeded expressway travel. Here, we explore the relationship between demand origin locations and congested expressways. We extract the time-varying OD demand matrix from empirical tollgate data collected in Shandong province, China. The incremental traffic assignment method is introduced to obtain the traffic flow of expressway road segments. It was found that congested expressways were generated due to only a few origin locations. In addition, expressway congestion during peak hours could be effectively alleviated by controlling the travel demand of these origin locations. Therefore, the proposed method can provide a novel perspective for expressway management. |
| format | Article |
| id | doaj-art-7f5603a32cda4b278234e02009509141 |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-7f5603a32cda4b278234e020095091412025-02-03T06:47:42ZengWileyJournal of Advanced Transportation2042-31952023-01-01202310.1155/2023/2910454Expressway Usage Pattern Analysis Based on Tollgate Data: A Case Study of the Shandong Province, ChinaChengcheng Wang0Xiaoe Ding1Chao Wang2Mengqi Lv3Run Xu4Yufeng Bi5Zhiren Huang6Shandong Provincial Communications Planning and Design Institute Group Co., LtdShandong Provincial Communications Planning and Design Institute Group Co., LtdShandong Provincial Communications Planning and Design Institute Group Co., LtdShandong Provincial Communications Planning and Design Institute Group Co., LtdShandong Provincial Communications Planning and Design Institute Group Co., LtdShandong Provincial Communications Planning and Design Institute Group Co., LtdDepartment of Computer ScienceExpressway transportation is an essential part of regional development. An efficient expressway system can enhance cities’ connectivity and coordinate long-distance trips between urban areas. Understanding how travel demand affects the flow of expressways is crucial to designing an efficient expressway management system. However, congested expressways are substantial obstacles to unimpeded expressway travel. Here, we explore the relationship between demand origin locations and congested expressways. We extract the time-varying OD demand matrix from empirical tollgate data collected in Shandong province, China. The incremental traffic assignment method is introduced to obtain the traffic flow of expressway road segments. It was found that congested expressways were generated due to only a few origin locations. In addition, expressway congestion during peak hours could be effectively alleviated by controlling the travel demand of these origin locations. Therefore, the proposed method can provide a novel perspective for expressway management.http://dx.doi.org/10.1155/2023/2910454 |
| spellingShingle | Chengcheng Wang Xiaoe Ding Chao Wang Mengqi Lv Run Xu Yufeng Bi Zhiren Huang Expressway Usage Pattern Analysis Based on Tollgate Data: A Case Study of the Shandong Province, China Journal of Advanced Transportation |
| title | Expressway Usage Pattern Analysis Based on Tollgate Data: A Case Study of the Shandong Province, China |
| title_full | Expressway Usage Pattern Analysis Based on Tollgate Data: A Case Study of the Shandong Province, China |
| title_fullStr | Expressway Usage Pattern Analysis Based on Tollgate Data: A Case Study of the Shandong Province, China |
| title_full_unstemmed | Expressway Usage Pattern Analysis Based on Tollgate Data: A Case Study of the Shandong Province, China |
| title_short | Expressway Usage Pattern Analysis Based on Tollgate Data: A Case Study of the Shandong Province, China |
| title_sort | expressway usage pattern analysis based on tollgate data a case study of the shandong province china |
| url | http://dx.doi.org/10.1155/2023/2910454 |
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