Modeling and Analysis of ETC Control System with Colored Petri Net and Dynamic Slicing

Author:

Yu Wangyang1ORCID,Kong Jinming2ORCID,Ding Zhijun3ORCID,Zhai Xiaojun4ORCID,Li Zhiqiang5ORCID,Guo Qi5ORCID

Affiliation:

1. Key Laboratory of Modern Teaching Technology, Ministry of Education, China and The School of Computer Science, Shaanxi Normal University, China

2. Puyang Vocational and Technical College, China and Puyang Institute of Technology, Henan University, China

3. The Department of Computer Science and Engineering, Tongji University, China

4. The School of Computer Science and Electronic Engineering, University of Essex, UK

5. The School of Computer Science, Shaanxi Normal University, China

Abstract

Nowadays, Electronic Toll Collection (ETC) control systems have been widely adopted to smoothen traffic flow on highways. However, as it is a complex business interaction system, there are inevitably flaws in its control logic process, such as the problem of vehicle fee evasion. We find that there is more than one way for vehicles to evade fees. This shows that it is difficult to ensure the completeness of its design. Therefore, it is necessary to adopt a novel formal method to model and analyze its design, detect flaws, and modify it. In this article, a Colored Petri net (CPN) is introduced to establish its model. To analyze and modify the system model more efficiently, a dynamic slicing method of CPN is proposed. First, a static slice is obtained from the static slicing criterion by backtracking. Second, considering all binding elements that can be enabled under the initial marking, a forward slice is obtained from the dynamic slicing criterion by traversing. Third, the dynamic slicing of CPN is obtained by taking the intersection of both slices. The proposed dynamic slicing method of CPN can be used to formalize and verify the behavior properties of an ETC control system, and the flaws can be detected effectively. As a case study, the flaw about a vehicle that has not completed the payment following the previous vehicle to pass the railing is detected by the proposed method.

Funder

Open Research Fund of Anhui Province Engineering Laboratory for Big Data Analysis and Early Warning Technology of Coal Mine Safety, China

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Shaanxi Province

Open Research Fund of Key Laboratory of Embedded System and Service Computing (Tongji University), Ministry of Education, China

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Software

Reference53 articles.

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2. M. M. Desai and J. J. Patoliya. 2017. Smart toll collection system using embedded Linux environment. In Proceedings of the 2nd International Conference for Convergence in Technology (I2CT’17). IEEE, 79–83.

3. S. Ahmed, T. M. Tan, A. M. Mondol, Z. Alam, N. Nawal, and J. Uddin. 2019. Automated toll collection system based on RFID sensor. In Proceedings of the International Carnahan Conference on Security Technology (ICCST’19). IEEE, 1–3.

4. Behavior analysis and measure research on highway ETC toll evasion;Tan Y.;Technol. Econ. Areas Commun.,2014

5. The constitution and advantages and disadvantages of ETC electronic toll collection system on expressway;Su C.;World Transport.,2020

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