Every year more than six million crashes occur in the USA, killing over 40.000 people and causing more than three millions of injuries [7]. A major part of these crashes are rear-end collisions. Therefore the U.S. Department of Transportation has put a lot of effort in fostering the development of rear-end collision avoidance systems by funding governmental, academic and industrial research gro...

We brieey review diierent models used nowadays in car following and lane changing for road traac simulation. We compare four recent simulators of traac and we focus on the approaches used in these simulators for performing car following and lane changing. Then we present in more details the algorithms used in the Hipertrans simulator for executing these car following and lane changing tasks.

The objective of this paper is to use the Wheel of Consumer Analysis to identify, cultural differences between American and Chinese people in North America regarding their car buying behavior. The study is based on the consumer behavior model proposed by J. Paul Peter and Jerry C. Olson (1994), which helps to explain the reasons for buyer behavior differences between American and Chinese people...

This research effort analyzes the Wiedemann car-following model using car-following periods that occur at different speeds. The Wiedemann car-following model uses thresholds to define the different regimes in car following. Some of these thresholds use a speed parameter, but others rely solely upon the difference in speed between the subject vehicle and the lead vehicle. The results show that t...

†Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA An errorable car-following driver model is presented in this paper. An errorable driver model is one that emulates human driver’s functions and can generate both nominal (error-free) as well as devious (with error) behaviors. This model was developed for evaluation and design of active safety systems. The ca...

This paper presents findings from a comparative evaluation of car-following behaviour in a number of microscopic traffic simulators. The paper describes the results of the calibration and validation of the car following model implemented in the ARTEMiS simulator developed by the author. The calibration and validation are based on a ‘standard’ car-following experiment (called the Boschtest) whic...

In this study, the effect of age, gender, and desired speed (DS) factors on General Motors car-following (CF) behavior was investigated. DS defined as selected by driver in free driving situation. A low-level simulator used to collect data. The CF model for each calibrated genetic algorithm. Gender were effective behavior, while age factor not. drivers’ sensitivity variables distance increased ...

Sudden lane-changing maneuvers can disrupt the traffic flow. In this paper, we introduce an approach to optimize car-following behavior in response a vehicle connected driving environment. Our utilizes quadratic Bézier curve time-space diagram represent behavior. The algorithm adapts sudden interruptions from leading (i.e., on road) while considering comfort, impacts, and safety. We derive acce...