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This paper describes a human factors simulation study of the decision making behavior of drivers attempting to avoid nonrecurring congestion by diverting to alternate routes with the aid of in-vehicle navigation systems. This study is the first phase of a two part project in which the second phase will apply the driver behavior data to a simulation model analysis of traffic flow. The object of the driver behavior experiment was to compare the effect of various experimental navigation systems on driver route diversion and alternate route selection. The experimental navigation system configurations included three map based systems with varying amounts of situation information and a non map based route guidance system. The overall study results indicated that navigation system characteristics can have a significant effect on driver diversion behavior, with better systems allowing more anticipation of traffic congestion.

This paper describes a laboratory simulation study of driver reaction to in-vehicle navigation systems. The study included a pre-test questionnaire on demographic background and commuting behavior, simulation testing of navigation decision making, and a post-test questionnaire on navigation behavior and reactions to in-vehicle navigation systems and the laboratory simulation. A total of 277 subjects, both male and female, were employed over a wide range of ages. Test subjects were assigned to one of four navigation system groups or a no-system control group for the purpose of comparing system performance. The simulation task required subjects to experience a commuting ‘drive’ on a Southern California freeway route and minimize trip time by diverting off the main route to avoid congestion. Subjects were given orientation and training on the simulation and their navigation system condition, and were motivated by rewards and penalties to minimize trip time.

Real time man-in-the-loop simulation can be used in a variety of research, testing and training roles where safety, efficiency and/or economy are important. Simulation can allow complete control and uniformity over driving conditions and permit analysis of a range of vehicle and driver behavior variables. Simulation complexity and fidelity requirements will vary depending on application requirements. This paper reviews past and current driving simulation development efforts and applications. Simulation requirements are assessed relative to various applications, including vehicle handling, driver behavior, training, licensing and fitness for duty testing.

For almost twenty years, researchers have attempted to develop an in-vehicle system which would prevent an impaired driver from operating his or her motor vehicle. These systems have ranged from breath testers to psychomotor tests, and have prevented operation of the vehicle by such methods as preventing the vehicle from starting or alerting drivers, and the police through alarm systems. This paper discusses the background leading to an in-vehicle system which was built and tested. We also discuss the system and its components, and present the results of two tests involving convicted drunk drivers. While the primary purpose of this project was to determine the feasibility of this type of system, the results of the two tests show promise for the reduction of impaired driving trips.

Vehicle acceleration rates and driver perception/reaction times exist in the accident reconstruction literature. However, scant data are available characterizing drivers in “real-world” situations. This study analyzes the perception/reaction times of drivers and initial acceleration rates of vehicles at signal-controlled intersections in “real-world” situations. Collection and assessment of these data facilitate evaluation of human factors characteristics and safety-related issues at these intersections. The purpose of this paper is to employ a new methodology for obtaining and analyzing “real-world” driver data. These data were analyzed to determine perception/reaction time of drivers, from signal change to initial forward movement, and vehicle acceleration rates, from a stationary position.