Assessing advanced driver assistance systems in police vehicles under demanding conditions

被引:0
作者
Shahini, Farzaneh [1 ]
Nasr, Vanessa [2 ]
Zahabi, Maryam [2 ]
机构
[1] FAA, Cherokee Nat 3s CN3S, Oklahoma City, OK USA
[2] Texas A&M Univ, Wm Michael Barnes Dept Ind & Syst Engn 64, Emerging Technol Bldg, College Stn, TX 77843 USA
关键词
ADAS; Law Enforcement Officers; driver performance; workload; TAKEOVER PERFORMANCE; COLLISION; TRUST; BEHAVIOR; AUTOMATION; IMMINENT; TASKS; TIME;
D O I
10.1080/00140139.2024.2404652
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Advanced driver-assistance systems (ADAS) are technologies that can enhance drivers' safety by relieving them from some driving related activities. However, police driving conditions and demands are different from those of civilian drivers. The objective of this study was to assess the impact of ADAS such as forward collision warning (FCW), automatic emergency braking (AEB), and blind spot monitoring (BSM) on police officers' driving performance, workload, and trust in vehicle safety to provide personalised solutions for police vehicles. A driving simulation study was conducted with 18 police officers. ADAS use was assessed under various driving conditions and while officers were engaged in non-driving related tasks. Findings suggested that the FCW and AEB systems improved officers' driving performance, while the BSM system had limited effectiveness due to low salience. ADAS were beneficial under normal driving conditions and when officers were using in-vehicle technology; however, they did not help officers in pursuit conditions. A driving simulation study was conducted to assess the effect of ADAS in police vehicles under various driving and non-driving related task conditions. The results can help vehicle manufacturers improve the design and usability of ADAS in police cars.
引用
收藏
页数:15
相关论文
共 50 条
[41]   On the road safety benefits of advanced driver assistance systems in different driving contexts [J].
Masello, Leandro ;
Castignani, German ;
Sheehan, Barry ;
Murphy, Finbarr ;
Mcdonnell, Kevin .
TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES, 2022, 15
[42]   Towards Mindless Stress Regulation in Advanced Driver Assistance Systems: A Systematic Review [J].
Bequet, Adolphe J. ;
Hidalgo-Munoz, Antonio R. ;
Jallais, Christophe .
FRONTIERS IN PSYCHOLOGY, 2020, 11
[43]   Survey of Cooperative Advanced Driver Assistance Systems: From a Holistic and Systemic Vision [J].
Felipe Gonzalez-Saavedra, Juan ;
Figueroa, Miguel ;
Cespedes, Sandra ;
Montejo-Sanchez, Samuel .
SENSORS, 2022, 22 (08)
[44]   Correct-by-Construction Advanced Driver Assistance Systems based on a Cognitive Architecture [J].
Eiras, Francisco ;
Lahijanian, Morteza ;
Kwiatkowska, Marta .
2019 IEEE 2ND CONNECTED AND AUTOMATED VEHICLES SYMPOSIUM (CAVS), 2019,
[45]   A Full-Factorial Study of Sensor Fusion for Advanced Driver Assistance Systems [J].
Janevski, Nikola ;
Woerner, Brian .
2021 IEEE 94TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-FALL), 2021,
[46]   Current Challenges in Modelling Advanced Driver Assistance Systems: Future Trends and Advancements [J].
Kaur, Parampreet ;
Sobti, Rajeev .
2017 2ND IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION ENGINEERING (ICITE), 2017, :236-240
[47]   Analyzing the Impact of Product Configuration Variations on Advanced Driver Assistance Systems with Search [J].
Yin, Kaiou ;
Arcaini, Paolo ;
Yue, Tao ;
Ali, Shaukat .
PROCEEDINGS OF THE 2021 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'21), 2021, :1106-1114
[48]   Applications of Road Edge Information for Advanced Driver Assistance Systems and Autonomous Driving [J].
Sugawara, Toshiharu ;
Altmannshofer, Heiko ;
Kakegawa, Shinji .
ADVANCED MICROSYSTEMS FOR AUTOMOTIVE APPLICATIONS 2017: SMART SYSTEMS TRANSFORMING THE AUTOMOBILE, 2018, :71-86
[49]   Technical feasibility of advanced driver assistance systems (ADAS) for road traffic safety [J].
Lu, M ;
Wevers, K ;
Van der Heuden, R .
TRANSPORTATION PLANNING AND TECHNOLOGY, 2005, 28 (03) :167-187
[50]   Design and Analysis of the Trajectory of an Overtaking Maneuver Performed by Autonomous Vehicles Operating with Advanced Driver-Assistance Systems (ADAS) and Driving on a Highway [J].
Ortega, Josue ;
Lengyel, Henrietta ;
Ortega, Jairo .
ELECTRONICS, 2023, 12 (01)