Model-Based Systemic Hazard Analysis Approach for Connected and Autonomous Vehicles and Case Study Application in Automatic Emergency Braking System

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Duan Jianyu ◽  
Hongjun Zhang
Keyword(s):  
Autonomous Vehicles ◽  
Hazard Analysis ◽  
Analysis Approach ◽  
Emergency Braking ◽  
Braking System ◽  
Model Based ◽  
Study Application

A Hazard Analysis Approach based on STPA and Finite State Machine for Autonomous Vehicles

2021 ◽  
Author(s):  
Xingyu Xing ◽  
Tangrui Zhou ◽  
Junyi Chen ◽  
Lu Xiong ◽  
Zhuoping Yu
Keyword(s):  
Autonomous Vehicles ◽  
Finite State Machine ◽  
Hazard Analysis ◽  
State Machine ◽  
Analysis Approach ◽  
Finite State

scholarly journals Holistic Vehicle Instrumentation for Assessing Driver Driving Styles

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1427
Author(s):  
María Garrosa ◽  
Ester Olmeda ◽  
Sergio Fuentes del Toro ◽  
Vicente Díaz
Keyword(s):  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Experimental Tests ◽  
Dynamic Responses ◽  
Emergency Braking ◽  
Braking System ◽  
Hydraulic Brake ◽  
Driving Scenario ◽  
Real Time Information ◽  
Time Information

Nowadays, autonomous vehicles are increasing, and the driving scenario that includes both autonomous and human-driven vehicles is a fact. Knowing the driving styles of drivers in the process of automating vehicles is interest in order to make driving as natural as possible. To this end, this article presents a first approach to the design of a controller for the braking system capable of imitating the different manoeuvres that any driver performs while driving. With this aim, different experimental tests have been carried out with a vehicle instrumented with sensors capable of providing real-time information related to the braking system. The experimental tests consist of reproducing a series of braking manoeuvres at different speeds on a flat floor track following a straight path. The tests distinguish between three types of braking manoeuvre: maintained, progressive and emergency braking, which cover all the driving circumstances in which the braking system may intervene. This article presents an innovative approach to characterise braking types thanks to the methodology of analysing the data obtained by sensors during experimental tests. The characterisation of braking types makes it possible to dynamically classify three driving styles: cautious, normal and aggressive. The proposed classifications allow it possible to identify the driving styles on the basis of the pressure in the hydraulic brake circuit, the force exerted by the driver on the brake pedal, the longitudinal deceleration and the braking power, knowing in all cases the speed of the vehicle. The experiments are limited by the fact that there are no other vehicles, obstacles, etc. in the vehicle’s environment, but in this article the focus is exclusively on characterising a driver with methods that use the vehicle’s dynamic responses measured by on-board sensors. The results of this study can be used to define the driving style of an autonomous vehicle.

scholarly journals Parameterization of the ABS electronic control unit for increasing the autonomous trucks’ active safety

2021 ◽  
Vol 341 ◽  
pp. 00026
Author(s):  
Shakhrom Begizhonov ◽  
Polina Buyvol ◽  
Irina Makarova ◽  
Eduard Tsybunov
Keyword(s):  
Autonomous Vehicles ◽  
Electronic Control Unit ◽  
Control Unit ◽  
Steering Wheel ◽  
Active Safety ◽  
Electronic Control ◽  
Software Module ◽  
Emergency Braking ◽  
Braking System ◽  
Vehicle Active Safety

The article is devoted to the issue of improving the autonomous vehicles safety. The anti-lock braking system was chosen as the object of the study, since it is one of the components of the vehicle active safety during emergency braking. Its functioning varies depending on parameters such as vehicle type, transmission type, external and internal steering wheel angles. It is necessary to parameterize correctly the electronic control unit of the anti-lock braking system depending on the specific values of these parameters. For this, a software module was developed that reads the values of the vehicle parameters from a file and sends their array to the electronic control unit. Then we can check the result: how the block responded to the sent request -positively or negatively. All this will speed up the parameterization process, increase its accuracy, preventing the occurrence of operator errors during its implementation.

Improved Systemic Hazard Analysis Integrating with Systems Engineering Approach for Vehicle Autonomous Emergency Braking System

2021 ◽  
Author(s):  
Jianyu Duan
Keyword(s):  
System Design ◽  
Systems Theory ◽  
Systems Engineering ◽  
System Development ◽  
Process Analysis ◽  
Hazard Analysis ◽  
Safety Analysis ◽  
Critical System ◽  
Emergency Braking ◽  
Braking System

Abstract Safety analysis is a significant step for the safety-critical system development. Compared with traditional vehicles, the system interactions for autonomous vehicles are more abundant and complex. Traditional hazard analysis methods, such as Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis (FTA) which are on the basis of the component failure and reliability theory, can not identify the system hazards related to system interactions. An emerging hazard analysis method based on systems theory, Systems Theory Process Analysis (STPA) mainly focuses on identifying the control system hazards caused by system interactions. In this study, STPA method is used to identify the potential hazards and casual factors for autonomous emergency braking system by concentrating on system interactions. To improve the consistency between system design and safety analysis, the workflow combining model-based systems engineering (MBSE) and STPA is proposed. The systems modeling language (SysML) is used to describe control structure and system interaction relationships. According to the identified casual factors, the certain constraints and requirements can be derived, which can provide the guidance for system development with respect to system design. Furthermore, the quantitative analysis of the certain unsafe control action is conducted by simulation, which shows effectiveness and feasibility of the proposed method in safety analysis and system design.

Enhancing Safety in the Security and Alarm Monitoring Industry: A Case Study in the Development of Job Hazard Analyses

2020 ◽  
Vol 64 (1) ◽  
pp. 1671-1675
Author(s):  
Polly A. College ◽  
Ellen J. Bass
Keyword(s):  
Subject Matter ◽  
Hazard Analysis ◽  
Work Environments ◽  
Use Cases ◽  
Analysis Approach ◽  
Subject Matter Experts ◽  
Large Company ◽  
Security Industry ◽  
Adherence Data

Job hazard analysis is a process of identifying potential hazards for each task within an activity and enacting safety rules to eliminate or control the hazards. No studies have been published regarding their use in the security industry. Technicians working in the industry face safety challenges due to the hazards inherent in their work environments and the tasks they need to achieve. Technicians who install and service such systems for a large company in the industry were provided with a “safety bundle” of information and tools to help them avoid hazards. An observation of technicians at four locations identified a lack of adherence to this safety bundle. Subject matter experts were presented with the lack of adherence data. They also developed use cases to support identifying additional content to help technicians with a job hazard analysis approach. The content will be added to the safety bundle and evaluated.

ANALISIS KINERJA KEUANGAN IAIN PONTIANAK TAHUN 2014-2018 BERDASARKAN PENDEKATAN BALANCE SCORECARD

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
JATRIANA B2041142013
Keyword(s):  
Higher Education ◽  
Balanced Scorecard ◽  
Six Sigma ◽  
Balance Scorecard ◽  
The Balanced Scorecard ◽  
College And University ◽  
University Planning ◽  
Education Journal ◽  
Study Application

Penelitian ini bertujuan untuk mengukur kinerja keuangan kampus IAIN Pontianak menggunakan pendekatan Balance Scorecard. Metode penelitian ini adalah kuantitatif dengan menggunakan statistika untuk menganalisis sampel yang digunakan sebanyak 664 orang mahasiswa dan 193 orang dosen dan pegawai. Hasil penelitian menyatakan bahwa variabel perspektif pelanggan, perpektif bisnis internal dan variabel perspektif pertumbuhan dan pembelajaran, masing-masing berpengaruh positif dan signifikan terhadap peningkatan kinerja keuangan IAIN Pontianak.Kata Kunci : Balance Scorecard, IAIN Pontianak, Kinerja KeuanganDAFTAR PUSTAKA Andriyanto, R. W., & Metalia, M. (2010). Efektivitas Balanced Scorecard Dalam Maningkatkan Kinerja Manajerial Badan Usaha Milik Negara (Bumn). Jurnal Akuntansi dan Investasi, 11(2), 97-114.Arikunto, S. 1992. Prosedur penelitian: Suatu pendekatan praktik. Rineka Cipta.Bastian, Indra. 2006. Akutansi Sektor Publik, Suatu Pengantar. Jakarta: Airlangga.Brown, Cindy. 2012. Application of the Balanced Scorecard in Higher Education: Opportunities and Challenges - An Evaluation of Balanced Scorecard Implementation at the College of St. Scolastica. SCUP; Society for College and University Planning. www.scup.org/phe.html.Effendi, R. (2012). Pengukuran Kinerja Sektor Publik Dengan Menggunakan Balanced Scorecard (Studi Kasus Kanwil DJP Sumsel dan Kep. Babel). Jurnal Ilmiah Stie Mdp, 1(2), 67-73.Gaspersz, Vicent. 2002. Sistem Manajemen Kinerja Terintegrasi: Balanced Scorecard dengan Six Sigma untuk Organisasi Bisnis dan Pemerintah. Cet ke-3, Jakarta: Gramedia Pustaka UtamaHandayani, S. (2017). Analisis Balanced Scorecard Sebagai Tolok Ukur Kinerja Perusahaan Pada Pt Pos Indonesia ( Persero ) Lamongan. Jurnal Penelitian Ekonomi dan Akuntansi, II(3), 589-601.IAIN Pontianak. 2019. “Sistem Informasi Akademik Institut Agama Islam Negeri Pontianak.” Mahasiswa IAIN Pontianak. www.sia.iainptk.ac.id.Kaplan, S. Robert, and David P. Norton. 2000. Balanced Scorecard, Menerapkan Strategi Menjadi Aksi. Jakarta: Penerbit Erlangga.Karathanos, Dementrius, and Patricia Karathanos. 2005. “Appliying the Balanced Scoredard to Education.” Journal of Education for Business: 222–30.Kemenristek Dikti RI. 2019. “Pangkalan Data Pendidikan Tinggi:  Kementrian Riset , Teknologi, Dan Pendidikan Tinggi.” Tenaga Pendidik  IAIN Pontianak. www/forlap.ristekdikti.go.id.Kementrian Agama RI. 2019. “Seleksi Prestasi Akademik Nasional APerguruan Tinggi Keagamaan Islam Negeri.” SPAN PTKIN 2019. https://span-ptkin.ac.id.Mahsun, Muhammad. 2006. Pengukuran Kinerja Sektor Publik. 1st ed. Yogyakarta: BPFE.Mardiasmo. 2004. Akuntansi Sektor Publik. 1st ed. Yogyakarta: BPFE.Mulyadi. 2007. Balanced Scorecard, Alat Manajemen Kontemporer Untuk Pelipatganda Kinerja Keuangan Perusahaan. 1st ed. Jakarta: Penerbit Salemba Empat.Nugrahini, I. A. P., Ratnadi, N. M. D., & Putri, I. G. A. M. A. D. (2016). Penilaian Kinerja Berdasarkan Balanced Scorecard Pada Badan Penanaman Modal Dan Perijinan Daerah Kabupaten Tabanan. E-Jurnal Ekonomi dan Bisnis Universitas Udayana, 5(4), 829-856.Rollins, Andrea Mae. 2011. “A Case Study: Application of Balanced Scorecard in Hingher Education.” PhD Dissertation. San Diego State University.Singarimbun, Masri, and Sofian Effendi. 1989. Metode Penelitian Survey. Jakarta: LP3ES.Sugiono. 2005. Metode Penelitian Bisnis. Bandung: Alfabeta.Suta, I. W. P., & Dwiastuti, G. A. A. S. A. (2016). Pengukuran Kinerja Dengan Pendekatan Balanced Scorecard Pada Kantor Pusat Pt Bank Pembangunan Daerah Bali. Jurnal Bisnis Dan Kewirausahaan, 12(1), 32-41.Syarbaini, Khatib. 1986. “Fakultas Tarbiyah (Ketikan Manual).”Yassin, A., Musadieq, M. A., & Afrianty, T. W. (2016). Pengaruh Balanced Scorecard Dan Knowledge Management Terhadap Kinerja Karyawan Dan Kinerja Perusahaan (Studi Pada Karyawan Pt Semen Indonesia (Persero) Tbk). Jurnal Administrasi Bisnis, 33(2), 125-134.

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