Unraveling Gap Selection Process During Discretionary Lane Changing by Vehicle Class

This paper studies and compares the gap selection process of multiple vehicle classes (passenger cars, delivery vans, and trucks) within their discretionary lane changing activities. Given a trajectory or a sequence of gap selection decisions, we aim to predict whether a vehicle will change or keep a lane. For this purpose, we use a large...

Temporal Performance of Advanced Driver Assistance Systems vis-á-vis Human Driving Behavior in Dense Traffic

Advanced Driver Assistance Systems (ADAS) are becoming ubiquitous, and gradually take over the role of human drivers in the vision of the automotive sector. Humans are different from most systems: while in general humans exhibit a much higher error rate when performing specific functions, they are also unmatched in their adaptability, and their...

The effects of cyclists present at rural intersections on speed behavior and workload of car drivers: A driving simulator study

Methods: An experiment was conducted in a moving-base driving simulator. Thirty participants completed 3 runs each in 3 conditions: a baseline, a plateau, and a chicane condition. Participants drove an 80 km/h rural distributor road with 8 intersections. Eight cyclist scenarios were developed varying in the number of cyclists and the direction...

Effects of high power illuminators on vision through windscreens and driving behavior

In this study we investigated the effectiveness of high power illuminators that are intended to be used as warning devices or non-lethal weapons to deny car drivers their view on the outside world through windscreens. The test is based on a measurement of the amount of veiling glare resulting when a high intensity light source hits a windscreen....

On-line battery identification for electric driving range prediction

Hybrid and electric vehicles require accurate knowledge of the battery to make an educated guess about the expected electric driving range. Range prediction is complicated by the fact that batteries are subject to external influences and aging. Also the future driving behavior is often unknown. This paper presents a model-based identification...

Influence of roadside infrastructure on driving behavior: Driving simulator study

This paper describes the results of a driving simulator study that focused on the influence of roadside infrastructure on speed choice and lateral placement of car drivers. A review of the RISER detailed accident database revealed that lateral positioning and speed of the vehicle were two of the primary factors leading to crashes. The driving...

Effects of human-machine interface design for intelligent speed adaptation on driving behavior and acceptance

The effects of human-machine interface (HMI) design for intelligent speed adaptation (ISA) on driving behavior and acceptance were measured in a moving-base research driving simulator. Sixty-four experienced drivers participated in two simulator experiments (32 in each). During the simulated runs with ISA, the speed limit was communicated...

Driving with intelligent vehicles. Driving behaviour with ACC and the acceptance by individual drivers

This paper presents an overview of the work of a PhD project performed within the research programme "Technology Assessment Automatic Vehicle Guidance" concerning individual driver behaviour and acceptance of Adaptive Cruise Control [1]. It describes and discusses the results of a questionnaire study and two experimental driving simulator...