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Aug 30, 2023
Freeway Short-Term Travel Time Prediction Based on Data Mining
Authors: Yanqing Yang [email protected], Peiqun Lin [email protected], and Xiaoguang Yang [email protected]Author Affiliations
Publication: CICTP 2023
ABSTRACT
This paper takes the freeway as the research object to explore short-term travel time prediction. Travel time is an important factor in reflecting the traffic condition. Meanwhile, the research of short-term prediction, which needs to be based on big data, is an essential part of intelligent transportation systems. This paper selects the gantry data of Guangdong Shenzhen Freeway to ensure the safety of toll data. It proposes a data-cleaning method that provides a reliable data basis for the prediction. In this paper, the ARIMA, LSTM, and GA-LSTM models are constructed to predict the travel time of the freeway. The conclusion that the GA-LSTM model has the best prediction effect is obtained using the evaluation system composed of MAE and MAPE. This paper finally forecasts the travel time of continuous freeway sections, which is significant to the intelligent transportation system.
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Published online: Aug 30, 2023
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ASCE Technical Topics:
- Big data
- Business management
- Data collection
- Engineering fundamentals
- Highway and road management
- Highway transportation
- Highways and roads
- Infrastructure
- Intelligent transportation systems
- Methodology (by type)
- Practice and Profession
- Public administration
- Public health and safety
- Research methods (by type)
- Safety
- Tolls
- Traffic engineering
- Traffic management
- Transportation engineering
- Transportation management
- Travel time
Authors
Affiliations
1College of Transportation Engineering, Tongji Univ., Jiading District, Shanghai, China. Email: [email protected]
2School of Civil Engineering and Transportation, South China Univ. of Technology, Tianhe District, Guangzhou, China. Email: [email protected]
3College of Transportation Engineering, Tongji Univ., Jiading District, Shanghai, China. Email: [email protected]
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.