Modeling techniques evolved a lot during the last half century. Acceleration models used for microscopic traffic simulation are heterogeneous. For instance, differential equation based models are different from agent based ones. Comparison of those models is a difficult task because studies are often conducted based on a suitable and particular theory, usually not applicable to all models. So w...

OBJECTIVE This paper explores the development of a rigorous computational model of driver behavior in a cognitive architecture--a computational framework with underlying psychological theories that incorporate basic properties and limitations of the human system. BACKGROUND Computational modeling has emerged as a powerful tool for studying the complex task of driving, allowing researchers to ...

There appears to be a lack of new ideas in driver behavior modeling. Although behavioral research is under some pressure, it seems too facile to attribute this deplorable state of affairs only to a lack of research funds. In my opinion the causal chain may well run in the opposite direction. An analysis of what is wrong has led me to the conclusion that human factors research in the area of dri...

Understanding driver behavior is an essential component in human-centric driver systems. Particularly, driver’s interaction with the environment is an important factor in controlling the vehicle, though there have been very few research studies on analyzing driver behavior. Multi-camera array system has a variety of applications because of its improved resolution, frame rate, depth of field, dy...

Active safety systems are gradually becoming practical with advances in environmental sensing and vehicle control technologies. Analyses of driver errors leading to road traffic accidents, however, have shown that drivers still make mistakes in their cognition of the external world and in judging between safe/not safe. Research into drivers' behavior and active safety has advanced with improvem...

17 Driver Behavior Model for ITS Evaluation System Makoto Kano Tomoyoshi Shiraishi Masao Kuwahara *3 Center for Collaborative Research, University of Tokyo *1 (4-6-1 Komaba, Meguro, Tokyo 153-8505 JAPAN, +81-3-5452-6565, [email protected]) Center for Collaborative Research, University of Tokyo *2 (4-6-1 Komaba, Meguro, Tokyo 153-8505 JAPAN, +81-3-5452-6565, [email protected])...

Most traffic simulation frameworks use sophisticated models to conceptualize human factors in traffic environments. In this work we want to find out in how far these approaches comply with models from human factor psychology—clearly the most advanced discipline, when it comes to the conceptualization of human behavior. Thus, we analyze common psychological models for human driver behavior and c...

When drivers are approaching a signalized intersection at the onset of a yellow change interval, they must decide whether to stop or cross the intersection. This can be a difficult decision when the vehicle is located within the dilemma zone and the result is sometimes a rear-end crash due to a sudden stop. This paper presented a new pavement-marking countermeasure which purpose is to reduce th...

Driver distraction can arise from sources internal as well as external to the driver. In this paper we describe a study (in progress) designed to examine the influence of internal distraction, created by cognitive tasks, on drivers’ visual behavior and vehicle control. Sixteen drivers will drive a city route while carrying out tasks of varying cognitive complexity. The tasks and their responses...

Traffic flow on straight roads is the most common traffic phenomenon in urban road traffic networks. In this paper, a realistic cellular automaton (CA) model is proposed to investigate driver behavior on urban straight roads based on our field observations. Two types of driver behavior, free and car-following, are simulated. Free driving behavior is modeled by a novel five-stage speeding model ...