Research on the Approach to Reaching Non-ETC Vehicle Users Based on Mobile Signaling

This paper addresses the problem of non-ETC (Electronic Toll Collection) vehicles lacking real-time notification channels by proposing a method based on mobile signaling. This approach leverages time and spatial data contained in mobile signals to match vehicle license plates with phone numbers, establishing an effective mechanism to reach non-ETC vehicle users. By integrating license plate recognition systems, mobile phone signaling data, and advanced positioning algorithms, a comprehensive system architecture is designed in this paper. The data processing flow, positioning algorithms, and experimental verification processes are elaborated, demonstrating the feasibility and effectiveness of this technology within closed tunnels. The experimental results demonstrate that the method has high accuracy and stability, providing a solution to the problem of notifying non-ETC vehicle users.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1145/3711129.3711199
Primary Topic
Transportation and Mobility Innovations
Type
article
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article

Research on the Approach to Reaching Non-ETC Vehicle Users Based on Mobile Signaling

Hao-Cian Wang, Jia Liu, Jiang-Lei Tian, Lin-Jian Su
Transportation and Mobility Innovations
article

Research on the Approach to Reaching Non-ETC Vehicle Users Based on Mobile Signaling

Hao-Cian Wang, Jia Liu, Jiang-Lei Tian, Lin-Jian Su
article en

Abstract

This paper addresses the problem of non-ETC (Electronic Toll Collection) vehicles lacking real-time notification channels by proposing a method based on mobile signaling. This approach leverages time and spatial data contained in mobile signals to match vehicle license plates with phone numbers, establishing an effective mechanism to reach non-ETC vehicle users. By integrating license plate recognition systems, mobile phone signaling data, and advanced positioning algorithms, a comprehensive system architecture is designed in this paper. The data processing flow, positioning algorithms, and experimental verification processes are elaborated, demonstrating the feasibility and effectiveness of this technology within closed tunnels. The experimental results demonstrate that the method has high accuracy and stability, providing a solution to the problem of notifying non-ETC vehicle users.

Guangzhou Automobile Group (China) (CN)
Openalex Percentile: Top 70%
Transportation and Mobility Innovations
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