Haijing Ning , Herong Zhu , Yisheng An , Naiqi Wu , Yupeng Cao , Xiangmo Zhao
{"title":"Modeling and functional verification of autonomous emergency braking systems based on extended colored hybrid petri nets","authors":"Haijing Ning , Herong Zhu , Yisheng An , Naiqi Wu , Yupeng Cao , Xiangmo Zhao","doi":"10.1016/j.simpat.2025.103149","DOIUrl":null,"url":null,"abstract":"<div><div>The autonomous emergency braking (AEB) system constitutes a critical safety function within advanced driver assistance systems (ADAS). Verifying its functionality is essential to ensure its operational correctness and reliability. Currently, AEB systems developed by different vendors employ diverse algorithms and lack a unified simulation, verification, and fault-detection framework. To bridge these gaps, this paper proposes a comprehensive modeling and functional verification framework for AEB systems. First, we establish a basic model using extended colored hybrid Petri nets (ECHPN). Next, we enhance this model by incorporating fault observation points to form an FD-ECHPN, thereby enabling fault detection and localization. Furthermore, this paper develops a universal simulation and testing approach to verify the functionality of AEB systems from various vendors by transforming the FD-ECHPN model into a Simulink/Stateflow model. The simulation results demonstrate that the proposed method can accurately assess the functionality of an AEB system and effectively identify and localize faults during model execution. Finally, we examine the state evolution and formal properties of the FD-ECHPN model to verify its correctness.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"144 ","pages":"Article 103149"},"PeriodicalIF":3.5000,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Simulation Modelling Practice and Theory","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1569190X2500084X","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
The autonomous emergency braking (AEB) system constitutes a critical safety function within advanced driver assistance systems (ADAS). Verifying its functionality is essential to ensure its operational correctness and reliability. Currently, AEB systems developed by different vendors employ diverse algorithms and lack a unified simulation, verification, and fault-detection framework. To bridge these gaps, this paper proposes a comprehensive modeling and functional verification framework for AEB systems. First, we establish a basic model using extended colored hybrid Petri nets (ECHPN). Next, we enhance this model by incorporating fault observation points to form an FD-ECHPN, thereby enabling fault detection and localization. Furthermore, this paper develops a universal simulation and testing approach to verify the functionality of AEB systems from various vendors by transforming the FD-ECHPN model into a Simulink/Stateflow model. The simulation results demonstrate that the proposed method can accurately assess the functionality of an AEB system and effectively identify and localize faults during model execution. Finally, we examine the state evolution and formal properties of the FD-ECHPN model to verify its correctness.
期刊介绍:
The journal Simulation Modelling Practice and Theory provides a forum for original, high-quality papers dealing with any aspect of systems simulation and modelling.
The journal aims at being a reference and a powerful tool to all those professionally active and/or interested in the methods and applications of simulation. Submitted papers will be peer reviewed and must significantly contribute to modelling and simulation in general or use modelling and simulation in application areas.
Paper submission is solicited on:
• theoretical aspects of modelling and simulation including formal modelling, model-checking, random number generators, sensitivity analysis, variance reduction techniques, experimental design, meta-modelling, methods and algorithms for validation and verification, selection and comparison procedures etc.;
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• distributed and real-time simulation, simulation interoperability;
• tools for high performance computing simulation, including dedicated architectures and parallel computing.