Prediction of total expressway traffic generation in Guangdong province based on multiple linear regression

Jinlong You

doi:10.1117/12.2668543

16 February 2023 Prediction of total expressway traffic generation in Guangdong province based on multiple linear regression

Jinlong You

Author Affiliations +

Proceedings Volume 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022); 1259113 (2023) https://doi.org/10.1117/12.2668543
Event: 6th International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 2022, Guangzhou, China

Abstract

Traffic volume prediction is the basis of road network planning and project feasibility studies, where total expressway traffic generation prediction is one of the cornerstones. Based on the big data of expressway network toll collection and related socio-economic indicators in Guangdong Province from 2015 to 2018, the correlation between the traffic generation (attraction) of expressways and socio-economic indicators was analyzed based on multiple linear regression, and a prediction model on fitting function for total expressway traffic generation in Guangdong Province was established. Finally, a real case study was used to test and verify our study.

Citation Download Citation

Jinlong You "Prediction of total expressway traffic generation in Guangdong province based on multiple linear regression", Proc. SPIE 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 1259113 (16 February 2023); https://doi.org/10.1117/12.2668543

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