{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T17:33:16Z","timestamp":1769275996132,"version":"3.49.0"},"reference-count":52,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2022,7,30]],"date-time":"2022-07-30T00:00:00Z","timestamp":1659139200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["41971340"],"award-info":[{"award-number":["41971340"]}]},{"name":"National Natural Science Foundation of China","award":["2020L3014"],"award-info":[{"award-number":["2020L3014"]}]},{"name":"National Natural Science Foundation of China","award":["2020D002"],"award-info":[{"award-number":["2020D002"]}]},{"name":"National Natural Science Foundation of China","award":["GY-Z19113"],"award-info":[{"award-number":["GY-Z19113"]}]},{"name":"National Natural Science Foundation of China","award":["No.GY-H-21021"],"award-info":[{"award-number":["No.GY-H-21021"]}]},{"name":"Special Funds for the Central Government to Guide Local Scientific and Technological Development","award":["41971340"],"award-info":[{"award-number":["41971340"]}]},{"name":"Special Funds for the Central Government to Guide Local Scientific and Technological Development","award":["2020L3014"],"award-info":[{"award-number":["2020L3014"]}]},{"name":"Special Funds for the Central Government to Guide Local Scientific and Technological Development","award":["2020D002"],"award-info":[{"award-number":["2020D002"]}]},{"name":"Special Funds for the Central Government to Guide Local Scientific and Technological Development","award":["GY-Z19113"],"award-info":[{"award-number":["GY-Z19113"]}]},{"name":"Special Funds for the Central Government to Guide Local Scientific and Technological Development","award":["No.GY-H-21021"],"award-info":[{"award-number":["No.GY-H-21021"]}]},{"name":"2020 Fujian Province \u201cthe Belt and Road\u201d Technology Innovation Platform","award":["41971340"],"award-info":[{"award-number":["41971340"]}]},{"name":"2020 Fujian Province \u201cthe Belt and Road\u201d Technology Innovation Platform","award":["2020L3014"],"award-info":[{"award-number":["2020L3014"]}]},{"name":"2020 Fujian Province \u201cthe Belt and Road\u201d Technology Innovation Platform","award":["2020D002"],"award-info":[{"award-number":["2020D002"]}]},{"name":"2020 Fujian Province \u201cthe Belt and Road\u201d Technology Innovation Platform","award":["GY-Z19113"],"award-info":[{"award-number":["GY-Z19113"]}]},{"name":"2020 Fujian Province \u201cthe Belt and Road\u201d Technology Innovation Platform","award":["No.GY-H-21021"],"award-info":[{"award-number":["No.GY-H-21021"]}]},{"name":"Provincial Candidates for the Hundred, Thousand and Ten Thousand Talent of Fujian","award":["41971340"],"award-info":[{"award-number":["41971340"]}]},{"name":"Provincial Candidates for the Hundred, Thousand and Ten Thousand Talent of Fujian","award":["2020L3014"],"award-info":[{"award-number":["2020L3014"]}]},{"name":"Provincial Candidates for the Hundred, Thousand and Ten Thousand Talent of Fujian","award":["2020D002"],"award-info":[{"award-number":["2020D002"]}]},{"name":"Provincial Candidates for the Hundred, Thousand and Ten Thousand Talent of Fujian","award":["GY-Z19113"],"award-info":[{"award-number":["GY-Z19113"]}]},{"name":"Provincial Candidates for the Hundred, Thousand and Ten Thousand Talent of Fujian","award":["No.GY-H-21021"],"award-info":[{"award-number":["No.GY-H-21021"]}]},{"name":"Crosswise project","award":["41971340"],"award-info":[{"award-number":["41971340"]}]},{"name":"Crosswise project","award":["2020L3014"],"award-info":[{"award-number":["2020L3014"]}]},{"name":"Crosswise project","award":["2020D002"],"award-info":[{"award-number":["2020D002"]}]},{"name":"Crosswise project","award":["GY-Z19113"],"award-info":[{"award-number":["GY-Z19113"]}]},{"name":"Crosswise project","award":["No.GY-H-21021"],"award-info":[{"award-number":["No.GY-H-21021"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>The travel time prediction of vehicles is an important part of intelligent expressways. It can not only provide the vehicle distribution trend of each section for the expressway management department to assist the fine management of the expressway, but it can also provide owners with dynamic and accurate travel time prediction services to assist the owners to formulate more reasonable travel plans. However, there are still some problems in the current travel time prediction research (e.g., different types of vehicles are not processed separately, the proximity of the road network is not considered, and the capture of important information in the spatial-temporal perspective is not considered in depth). In this paper, we propose a Multi-View Travel Time Prediction (MVPPT) model. First, the travel times of different types of vehicles of each section in the expressway are analyzed, and the main differences in the travel times of different types of vehicles are obtained. Second, multiple travel time features are constructed, which include a novel spatial proximity feature. On this basis, we use CNN to capture the spatial correlation and the spatial attention mechanism to capture key information, the BiLSTM to capture the time correlation of time series, and the time attention mechanism capture key time information. Experiments on large-scale real traffic data demonstrate the effectiveness of our proposal over state-of-the-art methods.<\/jats:p>","DOI":"10.3390\/e24081050","type":"journal-article","created":{"date-parts":[[2022,7,31]],"date-time":"2022-07-31T23:37:29Z","timestamp":1659310649000},"page":"1050","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Multi-View Travel Time Prediction Based on Electronic Toll Collection Data"],"prefix":"10.3390","volume":"24","author":[{"given":"Sijie","family":"Luo","sequence":"first","affiliation":[{"name":"Fujian Key Laboratory for Automotive Electronics and Electric Drive, Fujian University of Technology, Fuzhou 350118, China"}]},{"given":"Fumin","family":"Zou","sequence":"additional","affiliation":[{"name":"Fujian Key Laboratory for Automotive Electronics and Electric Drive, Fujian University of Technology, Fuzhou 350118, China"},{"name":"College of Computer and Data Science, Fuzhou University, Fuzhou 350108, China"}]},{"given":"Cheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Information Technology and Management, Hunan University of Finance and Economics, Changsha 410205, China"}]},{"given":"Junshan","family":"Tian","sequence":"additional","affiliation":[{"name":"Fujian Key Laboratory for Automotive Electronics and Electric Drive, Fujian University of Technology, Fuzhou 350118, China"}]},{"given":"Feng","family":"Guo","sequence":"additional","affiliation":[{"name":"College of Computer and Data Science, Fuzhou University, Fuzhou 350108, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5337-9083","authenticated-orcid":false,"given":"Lyuchao","family":"Liao","sequence":"additional","affiliation":[{"name":"Fujian Provincial Big Data Research Institute of Intelligent Transportation, Fujian University of Technology, Fuzhou 350118, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,7,30]]},"reference":[{"key":"ref_1","unstructured":"Ministry of Transport of the People\u2019s Republic of China (2022, March 22). 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