Traffic load prediction for bridge construction based on Internet of Things and BIM
With the development of urban transportation infrastructure, bridge construction often leads to traffic congestion and safety hazards. The traditional traffic load prediction fails to solve the dynamic change of traffic during construction. For this reason, this paper proposes a traffic load predict...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016825005733 |
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| _version_ | 1849229309298868224 |
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| author | Ouyang Lou Miao Wang Shirong Zheng |
| author_facet | Ouyang Lou Miao Wang Shirong Zheng |
| author_sort | Ouyang Lou |
| collection | DOAJ |
| description | With the development of urban transportation infrastructure, bridge construction often leads to traffic congestion and safety hazards. The traditional traffic load prediction fails to solve the dynamic change of traffic during construction. For this reason, this paper proposes a traffic load prediction and dynamic optimization method based on the integration of Building Information Modeling (BIM) and Internet of Things (IoT). Real-time traffic, bridge status and construction information are collected through IoT devices, and two-way data fusion is carried out by combining BIM model and real-time data. The real-time feedback provided by IoT optimizes the traffic flow prediction and adjusts the construction plan. Combining LSTM and NSGA-II optimization methods, a dynamic prediction and adjustment framework is constructed to significantly improve the accuracy of traffic prediction and management efficiency during construction. |
| format | Article |
| id | doaj-art-67667dff4a8a4f0c8e511558ddf35a59 |
| institution | Kabale University |
| issn | 1110-0168 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj-art-67667dff4a8a4f0c8e511558ddf35a592025-08-22T04:55:16ZengElsevierAlexandria Engineering Journal1110-01682025-08-01127566510.1016/j.aej.2025.04.077Traffic load prediction for bridge construction based on Internet of Things and BIMOuyang Lou0Miao Wang1Shirong Zheng2Jinhua Jiaotou Transportation Engineering Construction Investment Management Co., Ltd., 321300, Jinhua, China; Corresponding author.China Communications Highway Planning and Design Institute Co., Ltd., 100010, Beijing, ChinaPurdue University Bellevue, 98008, WA, United StatesWith the development of urban transportation infrastructure, bridge construction often leads to traffic congestion and safety hazards. The traditional traffic load prediction fails to solve the dynamic change of traffic during construction. For this reason, this paper proposes a traffic load prediction and dynamic optimization method based on the integration of Building Information Modeling (BIM) and Internet of Things (IoT). Real-time traffic, bridge status and construction information are collected through IoT devices, and two-way data fusion is carried out by combining BIM model and real-time data. The real-time feedback provided by IoT optimizes the traffic flow prediction and adjusts the construction plan. Combining LSTM and NSGA-II optimization methods, a dynamic prediction and adjustment framework is constructed to significantly improve the accuracy of traffic prediction and management efficiency during construction.http://www.sciencedirect.com/science/article/pii/S1110016825005733Internet of ThingsData fusionDeep learning |
| spellingShingle | Ouyang Lou Miao Wang Shirong Zheng Traffic load prediction for bridge construction based on Internet of Things and BIM Alexandria Engineering Journal Internet of Things Data fusion Deep learning |
| title | Traffic load prediction for bridge construction based on Internet of Things and BIM |
| title_full | Traffic load prediction for bridge construction based on Internet of Things and BIM |
| title_fullStr | Traffic load prediction for bridge construction based on Internet of Things and BIM |
| title_full_unstemmed | Traffic load prediction for bridge construction based on Internet of Things and BIM |
| title_short | Traffic load prediction for bridge construction based on Internet of Things and BIM |
| title_sort | traffic load prediction for bridge construction based on internet of things and bim |
| topic | Internet of Things Data fusion Deep learning |
| url | http://www.sciencedirect.com/science/article/pii/S1110016825005733 |
| work_keys_str_mv | AT ouyanglou trafficloadpredictionforbridgeconstructionbasedoninternetofthingsandbim AT miaowang trafficloadpredictionforbridgeconstructionbasedoninternetofthingsandbim AT shirongzheng trafficloadpredictionforbridgeconstructionbasedoninternetofthingsandbim |