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Abstract

The Senegalese highway toll collection system is inefficient,and significant congestion and delays frequently occur at toll stations in the face of sudden traffic surges during holidays.This paper examined the limitations of the existing toll collection methods on Senegalese highways and combined the image detection algorithm and electronic license plate recognition technology with the existing MTC and ETC toll collection methods to construct a converged toll collection method based on vehicle information recognition.The paper aimed to optimize the Senegalese highway toll collection system,reduce its cost of use,and improve the efficiency of toll collection.The BPV Thiès toll station in Senegal was selected as an example,and experimental simulation was carried out for different deployment schemes.The results show that compared with the existing toll collection method,the inbound delay during peak hours can be reduced by 34.99% and 62.49%,and the outbound delay can be reduced by 38.01% and 62.44%,respectively.By increasing the ETC penetration rate to 50%,the converged toll collection scheme further reduces the average inbound and outbound delays by 80.57% and 79.64%,respectively.This demonstrates that the converged toll collection technology can markedly enhance toll collection efficiency and serves as a pragmatic reference for highway toll collection methods in Senegal.

Publication Date

2-22-2025

DOI

10.14048/j.issn.1671-2579.2025.01.030

First Page

244

Last Page

254

Submission Date

March 2025

Reference

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