Privacy-Preserving Multi-Point Traffic Volume Measurement Through Vehicle-to-Infrastructure Communications

This paper aimed to solve the problems that traffic detector which was used in china, can't satisfies the multifunction and high-accuracy needs of the domestic traffic survey and traffic volume measurement.We designed a traffic detection system based on laser and piezoelectric technologies,which is made up of laser speed sensor, laser scanning sensor, piezoelectric axle shaft sensor, data acquisition unit, software system and server, and their application was discussed in detail. The working principles of laser speed sensor, laser scanning sensor, piezoelectric axle shaft sensor were presented, and the detection parameters of the system were put forward. The whole structure and data processing flow of software system were also pointed out. Through test verification, the multifunction and high-accuracy characteristics of the system were verified. This traffic detection system has great significance for enhancing the research level of the domestic traffic survey and traffic volume measurement.

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Automatic Detection of Vehicle Area Rectangle and Traffic Volume Measurement through Vehicle Sub-Shadow Accumulation

The Journal of the Korean Institute of Information and Communication Engineering ◽

10.6109/jkiice.2014.18.8.1885 ◽

2014 ◽

Vol 18 (8) ◽

pp. 1885-1894

Author(s):

Jee-Wan Kim ◽

Jaesung Lee

Keyword(s):

Automatic Detection ◽

Volume Measurement ◽

Traffic Volume

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IoT-Assisted Low-Cost Traffic Volume Measurement and Control

10.1109/comsnets53615.2022.9668354 ◽

2022 ◽

Author(s):

Chandra Shekhar ◽

Sudipta Saha

Keyword(s):

Low Cost ◽

Volume Measurement ◽

Traffic Volume ◽

And Control ◽

Measurement And Control

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Privacy-Preserving Data Aggregation Protocol for Fog Computing-Assisted Vehicle-to-Infrastructure Scenario

Security and Communication Networks ◽

10.1155/2018/1378583 ◽

2018 ◽

Vol 2018 ◽

pp. 1-14 ◽

Cited By ~ 4

Author(s):

Yanan Chen ◽

Zhenyu Lu ◽

Hu Xiong ◽

Weixiang Xu

Keyword(s):

Fog Computing ◽

Security Analysis ◽

Random Oracle Model ◽

Random Oracle ◽

Privacy Preserving ◽

Performance Comparison ◽

Communication Overhead ◽

Time Data ◽

Moving Vehicles ◽

Vehicle To Infrastructure

Vehicle-to-infrastructure (V2I) communication enables moving vehicles to upload real-time data about road surface situation to the Internet via fixed roadside units (RSU). Thanks to the resource restriction of mobile vehicles, fog computation-enhanced V2I communication scenario has received increasing attention recently. However, how to aggregate the sensed data from vehicles securely and efficiently still remains open to the V2I communication scenario. In this paper, a light-weight and anonymous aggregation protocol is proposed for the fog computing-based V2I communication scenario. With the proposed protocol, the data collected by the vehicles can be efficiently obtained by the RSU in a privacy-preserving manner. Particularly, we first suggest a certificateless aggregate signcryption (CL-A-SC) scheme and prove its security in the random oracle model. The suggested CL-A-SC scheme, which is of independent interest, can achieve the merits of certificateless cryptography and signcryption scheme simultaneously. Then we put forward the anonymous aggregation protocol for V2I communication scenario as one extension of the suggested CL-A-SC scheme. Security analysis demonstrates that the proposed aggregation protocol achieves desirable security properties. The performance comparison shows that the proposed protocol significantly reduces the computation and communication overhead compared with the up-to-date protocols in this field.

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