Analysis of the accuracy of vehicle detection based on multiple linear regression

Mingqin Chen; Hengkun Wang; Shuao Zhang; Jiangfeng Wang

doi:10.1117/12.2658654

22 December 2022 Analysis of the accuracy of vehicle detection based on multiple linear regression

Mingqin Chen, Hengkun Wang, Shuao Zhang, Jiangfeng Wang

Proceedings Volume 12460, International Conference on Smart Transportation and City Engineering (STCE 2022); 124602L (2022) https://doi.org/10.1117/12.2658654
Event: International Conference on Smart Transportation and City Engineering (STCE 2022), 2022, Chongqing, China

Abstract

Traffic volume surveys are a key factor in determining the state of road traffic and are a necessary basis for activities such as traffic planning, road construction, traffic control and management and engineering economic analysis. Most traffic volume surveys count vehicles separately by type, so accurate identification of vehicle types is particularly important. This paper is based on traffic volume survey data from eight detection methods for different vehicle types with separate detection counts. Statistical and correlation analyses were carried out separately, culminating in a multiple linear regression model, which yielded specific relationships between the effects of the different models when performing the tests.

Citation Download Citation

Mingqin Chen, Hengkun Wang, Shuao Zhang, and Jiangfeng Wang "Analysis of the accuracy of vehicle detection based on multiple linear regression", Proc. SPIE 12460, International Conference on Smart Transportation and City Engineering (STCE 2022), 124602L (22 December 2022); https://doi.org/10.1117/12.2658654

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