Improving the User Acceptability of Advanced Driver Assistance Systems Based on Different Driving Styles: A Case Study of Lane Change Warning Systems

2020 ◽  
Vol 21 (10) ◽  
pp. 4196-4208 ◽  
Author(s):  
Chang Wang ◽  
Qinyu Sun ◽  
Yingshi Guo ◽  
Rui Fu ◽  
Wei Yuan
Author(s):  
O. J. Gietelink ◽  
B. De Schutter ◽  
M. Verhaegen

This paper presents a methodological approach for validation of advanced driver assistance systems. The methodology relies on the use of randomized algorithms that are more efficient than conventional validation that uses simulations and field tests, especially with increasing complexity of the system. The methodology first specifies the perturbation space and performance criteria. Then, a minimum number of samples and a relevant sampling space are selected. Next, an iterative randomized simulation is executed; then the simulation model is validated with the use of hardware tests to increase the reliability of the estimated performance. The proof of concept is illustrated with some examples of a case study involving an adaptive cruise control system. The case study points out some characteristic properties of randomized algorithms with respect to the necessary sample complexity and sensitivity to model uncertainty. Solutions for these issues are proposed as are corresponding recommendations for research.


F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 1122
Author(s):  
Siti Fatimah Abdul Razak ◽  
Sumendra Yogarayan ◽  
Afizan Azman ◽  
Mohd Fikri Azli Abdullah ◽  
Anang Hudaya Muhamad Amin ◽  
...  

Background: Automobile manufacturers need to have an insight and understand how consumers, specifically drivers, respond to the advanced driver assistance systems (ADAS) technology in their manufactured vehicles. This study reveals drivers’ perceptions of Malaysia’s advanced driver assistance systems, which is currently lacking in the literature. So far, other studies have focused on countries that are unlike Malaysia’s multi-culture environment. Methods: A survey was designed and distributed using convenience sampling to obtain responses from licensed drivers. Questions included demographic and driving questions, the perceptions of benefits and obstacles relevant to ADAS use, vehicle decision-making, and technology use. Data were collected from 818 respondents who were licensed drivers in Malaysia. Results were then analysed using statistical approaches. Results: The findings indicated that 76.8% of drivers have a positive attitude towards ADAS technology, particularly safety applications when they are available. Regardless of the accuracy of these systems, acceptance of the technology may shift upon viewing or hearing messages of possible problems with ADAS. Conclusions: It can be concluded that the safety advantages of ADAS technology are less valued by drivers who do not have experience of road traffic accidents. Furthermore, acceptance of the technology could be undermined by assuming that the safety applications could be compromised.


Author(s):  
Akira Yoshizawa ◽  
Hirotoshi Iwasaki

This article describes how the number of fatal traffic accidents has been decreasing in Japan because of recent safety technologies of vehicles, such as stiff cabins, antilock braking systems, and seat belts. Automated vehicles and advanced driver assistance systems can advance the trend. However, many traffic accidents occur on narrow streets in residential sections, where it is difficult for even advanced vehicles to drive safely. In this research, this paper utilizes a near-miss incident database to analyze driver gazing. The result showed that preventive warning systems are useful for avoiding traffic accidents.


Author(s):  
Armin Norouzi ◽  
Reza Kazemi ◽  
Shahram Azadi

Recent researches on advanced driver-assistance systems indicate great advances in terms of safety and comfort in automated driving. Advanced driver-assistance systems use control systems to perform most of the maneuvers as performed by the driver in the past. One of the useful advanced driver-assistance systems is automatic lane change system in order to avoid accidents. This study designs the controller of an automatic lane change system for an autonomous vehicle. The control law in this study is adaptive sliding mode control. To avoid chattering in adaptive sliding mode control, fuzzy boundary layer is used. Also, adaptive law is used for sliding-based switching gain. This adaptive controlling law is used to avoid the calculation of upper bound of system uncertainties. In this study, based on the boundary conditions, the vehicle lane change path planning and different maneuver periods are evaluated. To simulate the designed controller, CarSim–Simulink joint simulation model is used. This linkage leads to a full non-linear vehicle model. The results of simulation show excellent tracking for dry road conditions and acceptable tracking in icy and wet roads in some maneuvers of above 4-s long.


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