Real-Time Freeway Speed Prediction Based on Deep Learning in Connected and Autonomous Vehicles Environment
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2022-09-01
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Edition:Final Report
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Abstract:The main objective of this research project is to enhance the accuracy of traffic speed prediction in ITS. The objectives of this project include: (1) Conducting a comprehensive review of traffic prediction techniques for CAVs. (2) Identifying a potential freeway segment and collecting the features of the selected scenario. (3) Developing and applying a logically intelligent car following model that can describe CAVs on the highway mainline. (4) Predicting the average traffic speed in the CAVs environment on the freeway, and comparing the performance of emerging deep learning technology with the existing car following models.
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