Urban Traffic Congestion Prediction Using Floating Car Trajectory Data

Qiuyuan Yang; Jinzhong Wang; Ximeng Song; Xiangjie Kong; Zhenzhen Xu; Benshi Zhang

doi:10.1007/978-3-319-27122-4_2

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Urban Traffic Congestion Prediction Using Floating Car Trajectory Data

Qiuyuan Yang Jinzhong Wang Ximeng Song Xiangjie Kong Zhenzhen Xu Benshi Zhang

Year: 2015 Lecture notes in computer science Pages: 18-30 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-27122-4_2

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Keywords:

Computer science Traffic flow (computer networking) Traffic congestion Trajectory Particle swarm optimization Stability (learning theory) Traffic congestion reconstruction with Kerner's three-phase theory Floating car data Real-time computing Algorithm Machine learning Transport engineering Computer network Engineering

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9.30

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0.99

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Citation History

Topics

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Transportation Planning and Optimization

Social Sciences → Social Sciences → Transportation

Traffic control and management

Physical Sciences → Engineering → Control and Systems Engineering

Urban Traffic Congestion Prediction Using Floating Car Trajectory Data

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Citation History

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