In this paper we explore the time course of a lane change in terms of the driver’s control and eyemovement behavior. We conducted an experiment in which drivers navigated a simulated multi-lane highway environment in a fixed-base, medium-fidelity driving simulator. We then segmented the driver data into standardized units of time to facilitate an analysis of behavior before, during, and after a...

Modeling driving behavior and emulating driver control strategy is one of essential parts for risk assessment and auxiliary control in the driver assistance system and vehicle active safety system. In this paper, we propose a proposed model is intuitive and can clearly describe the habit and randomness of the lane-change behavior with limit parameters. Especially, by using the proposed model an...

To investigate and compare the lane changing behavior of passenger cars heavy vehicles during implementation period (defined as interval from start time to end a change maneuver), this study applies gradient boosting decision tree (GBDT) method model cars, respectively. Results show that models vary with vehicle types directions. Different factors are considered by drivers when implementing cha...

Abstract Highway users can apprehension to certain subjects with utilizing of Vehicular Ad-hoc Networks (VANET) applications if the rules for safe overtaking movement are violated make lane change maneuver between vehicles on highway road. In our research, we suggest an algorithm semi-automated S-AV compliant emphasize highway. The proposed technique classify into major categories and criticall...

Road traffic safety has attracted increasing research attention, in particular the current transition from human-driven vehicles to autonomous vehicles. Surrogate measures of are widely used assess but they typically ignore motion uncertainties and inflexible dealing with two-dimensional motion. Meanwhile, learning-based lane-change trajectory prediction models have shown potential provide accu...

The primary aim of this article is to extensively study female occupant kinematics and muscle activations in vehicle maneuvers potentially occurring precrash situations with different seat b...

In the transition era towards connected autonomous vehicles (CAVs), sharing of roadway by CAVs and human-driven (HDVs) in a mixed-traffic stream is expected to pose safety flow efficiency concerns even though may tend adopt rather conservative maneuvering policies. Unfortunately, this will likely cause HDV drivers unduly exploit such conservativeness driving ways that imperil safety. A context ...

In order to alleviate traffic congestions and environmental impact, developing a model to evaluate under various geometric and traffic conditions is desirable, which is the objective of this study. The car following model describes following behaviors that drivers follow each other in the traffic stream on only one lane. The lane change model is one of the essential components of any microscopi...

Deceleration lanes are important because they help drivers transition from high-speed lanes to low-speed ramps. Although they are designed to allow vehicles to depart the freeway safely and efficiently, many studies report high accident rates on exit ramps with the highest percentage of crashes taking place in deceleration lanes. This paper describes the results of a driving simulator study tha...