Research on traffic flow characteristics of superhighway sections based on highD dataset

Yuqiang Wang; Xinjian Sun; Yaxin Wang

doi:10.1117/12.3054733

20 December 2024 Research on traffic flow characteristics of superhighway sections based on highD dataset

Yuqiang Wang, Xinjian Sun, Yaxin Wang

Author Affiliations +

Proceedings Volume 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024); 134214U (2024) https://doi.org/10.1117/12.3054733
Event: Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 2024, Dalian, China

Abstract

In order to accelerate the development of research on superhighways (design speed over 120km/h) in China and provide feasible data support, the sample data applicable to the classification of superhighways in China were obtained by analyzing and researching a number of indexes with the HighD dataset of German highways as the data base. On this basis, the traffic characteristics of traffic volume, speed, acceleration, headway and headway spacing and other characteristic parameters of superhighway sections are analyzed and studied through the data statistical analysis method, and the distribution of each characteristic parameter and the index value of the distribution characteristics are obtained, which provides a reference of the traffic flow characteristics for the study of domestic superhighway, and the data basis for the construction of the microscopic model and the calibration of the model parameters.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuqiang Wang, Xinjian Sun, and Yaxin Wang "Research on traffic flow characteristics of superhighway sections based on highD dataset", Proc. SPIE 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 134214U (20 December 2024); https://doi.org/10.1117/12.3054733

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