euroFOT: Field Operational Test and Impact Assessment of Advanced Driver Assistance Systems: Final Results

Benmimoun, Mohamed; Pütz, Andreas; Zlocki, Adrian; Eckstein, Lutz

doi:10.1007/978-3-642-33805-2_43

Cited by 53 publications

(20 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Estimates of the potential safety implications of ADAS are promising. Collision warning systems were shown in simulator studies to reduce the number of rear-end collisions by 80% (Lee et al, 2002), while on-road studies during the EuroFOT project have confirmed the positive effects of collision warning and adaptive cruise control systems on safety and fuel economy (Benmimoun et al, 2013). Similarly, a reduction of 59% in the number of fatal accidents (Carsten et al, 2000) is claimed to be viable with the extensive use of Intelligent Speed Adaptation systems.…”

Section: Adas For Safety and Eco-drivingmentioning

confidence: 99%

Adaptive driver modelling in ADAS to improve user acceptance: A study using naturalistic data

et al. 2019

View full text Add to dashboard Cite

Accurate understanding of driver behaviour is crucial for future Advanced Driver Assistance Systems (ADAS) and autonomous driving. For user acceptance it is important that ADAS respect individual driving styles and adapt accordingly. Using data collected during a naturalistic driving study carried out at the University of Southampton, we assess existing models of driver acceleration and speed choice during car following and when cornering. We observe that existing models of driver behaviour that specify a preferred inter-vehicle spacing in car-following situations appear to be too prescriptive, with a wide range of acceptable spacings visible in the naturalistic data. Bounds on lateral acceleration during cornering from the literature are visible in the data, but appear to be influenced by the minimum cornering radii specified in design codes for UK roadway geometry. This analysis of existing driver models is used to suggest a small set of parameters that are sufficient to characterise driver behaviour in car-following and curve driving, which may be estimated in real-time by an ADAS to adapt to changing driver behaviour. Finally, we discuss applications to adaptive ADAS with the objectives of improving road safety and promoting eco-driving, and suggest directions for future research.

show abstract

Section: Adas For Safety and Eco-drivingmentioning

confidence: 99%

Adaptive driver modelling in ADAS to improve user acceptance: A study using naturalistic data

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Hennessy & Wiesenthal, 1999). In addition, field operational tests, FOTs, have been conducted when performing long-term field tests, for instance to explore the effects of different advanced driver assistance systems (ADAS) (Benmimoun, Pütz, Zlocki, & Eckstein, 2013).…”

Section: Field Studymentioning

confidence: 99%

Adaptive behaviour in traffic : An individual road user perspective

Nygårdhs

2020

Linköping Studies in Arts and Sciences

View full text Add to dashboard Cite

At the Faculty of Arts and Sciences at Linköping University, research and doctoral studies are carried out within broad problem areas. Research is organized in interdisciplinary research environments and doctoral studies mainly in graduate schools. Jointly, they publish the series Linköping Studies in Arts and Sciences. This thesis comes from the Division for Human-Centered Systems (HCS) at the Department of Computer and Information Science.

show abstract

“…All these mechanisms and their effects are listed in Table 7. The fleet energy consumption under the BAU scenario and the OPT or CON scenarios can be calculated with Equations (10) and (11) [34].…”

Section: Environmental Benefitsmentioning

confidence: 99%

Assessing the Socioeconomic Impacts of Intelligent Connected Vehicles in China: A Cost–Benefit Analysis

et al. 2019

View full text Add to dashboard Cite

The deployment of intelligent connected vehicles (ICVs) is regarded as a significant solution to improve road safety, transportation management, and energy efficiency. This study assessed the safety, traffic, environmental, and industrial economic benefits of ICV deployment in China under different scenarios. A bottom-up model was established to deal with these impacts within a unified framework, based on the existing theories and literature of ICVs’ cost–benefit analysis, as well as China’s most recent policies and statistics. The results indicate that the total benefits may reach 13.25 to 24.02 trillion renminbi (RMB) in 2050, while a cumulative benefit–cost ratio of 1.15 to 3.06 suggests high cost-effectiveness. However, if the government and industry only focus on their own interests, the break-even point may be delayed by several years. Hence, an effective business model is necessary to enhance public–private cooperation in ICV implementation. Meanwhile, the savings of travel time costs and fleet labor costs play an important part in all socioeconomic impacts. Therefore, the future design of ICVs should pay more attention to the utilization of in-vehicle time and the real substitution for human drivers.

show abstract

euroFOT: Field Operational Test and Impact Assessment of Advanced Driver Assistance Systems: Final Results

Cited by 53 publications

References 2 publications

Adaptive driver modelling in ADAS to improve user acceptance: A study using naturalistic data

Adaptive driver modelling in ADAS to improve user acceptance: A study using naturalistic data

Adaptive behaviour in traffic : An individual road user perspective

Assessing the Socioeconomic Impacts of Intelligent Connected Vehicles in China: A Cost–Benefit Analysis

Contact Info

Product

Resources

About