On-board vehicle sensor technology. Volume I--summary report. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

On-board vehicle sensor technology. Volume II--technical report. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Truck accidents by classification. Final report.

Mode of access: Internet.

Human factors of driver-vehicle interaction in the IVHS environment. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Highway safety: factors affecting involvement in vehicle crashes.

Mode of access: Internet.

Analysis of Madison County vehicle data to evaluate the effect of Autocheck program on vehicle accident rates. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Development of vehicle rollover maneuver. Volume I. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Development of vehicle rollover maneuver. Volume II. Executive summary report.

National Highway Traffic Safety Administration, Washington, D.C.

A strategy for reducing wet-pavement accidents in Illinois. Interim report.

Mode of access: Internet.

Diagnostic motor vehicle inspection demonstration projects, program engineering support. Volume 8 - appendix G: vehicle-in-use standards. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Statistical analyses of commercial vehicle accident factors. Volume I - technical report. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Passenger vehicle median crossover and head-on collision with another passenger vehicle, Linden, New Jersey, May 1, 2003 /

"PB2006-916202."

Injury and risk-taking behavior - a systematic review

There is a substantial body of work in the scientific literature discussing the role of risk-taking behavior in the causation of injury. Despite the quantity of diverse writings on the subject most is in the form of theoretical commentaries. This review was conducted to critically assess the empirical evidence supporting the association between injury and risk-taking behavior. The review found six case-control studies and one retrospective cohort study, which met all the inclusion criteria. Meta-analysis was not possible due to the diversity of the independent and outcome variables in each of the studies reviewed. Overall the review found that risk-taking behavior, however it is measured, is associated with an increased chance of sustaining an injury except in the case of high skilled, risk-taking sports where the effect may be in the other direction. Drawing specific conclusions from the research presented in this review is difficult without an agreed conceptual framework for examining risk-taking behavior and injury. Considerable work needs to be done to provide a convincing evidence base on which to build public health interventions around risk behavior. However, sufficient evidence exists to suggest that effort in this area may be beneficial for the health of the community. (C) 2003 Elsevier Science Ltd. All rights reserved.

A hybrid genetic algorithm for the multi-depot vehicle routing problem

The distribution of finished products from depots to customers is a practical and challenging problem in logistics management. Better routing and scheduling decisions can result in higher level of customer satisfaction because more customers can be served in a shorter time. The distribution problem is generally formulated as the vehicle routing problem (VRP). Nevertheless, there is a rigid assumption that there is only one depot. In cases, for instance, where a logistics company has more than one depot, the VRP is not suitable. To resolve this limitation, this paper focuses on the VRP with multiple depots, or multi-depot VRP (MDVRP). The MDVRP is NP-hard, which means that an efficient algorithm for solving the problem to optimality is unavailable. To deal with the problem efficiently, two hybrid genetic algorithms (HGAs) are developed in this paper. The major difference between the HGAs is that the initial solutions are generated randomly in HGA1. The Clarke and Wright saving method and the nearest neighbor heuristic are incorporated into HGA2 for the initialization procedure. A computational study is carried out to compare the algorithms with different problem sizes. It is proved that the performance of HGA2 is superior to that of HGA1 in terms of the total delivery time.

Two-phases control of DSRC Vehicle networks for road intersection coexisting safety applications

In this paper we propose a two phases control method for DSRC vehicle networks at road intersection, where multiple road safety applications may coexist. We consider two safety applications, emergency safety application with high priority and routine safety applications with low priority. The control method is designed to provide high availability and low latency for emergency safety applications while leave as much as possible bandwidth for routine applications. It is expected to be capable of adapting to changing network conditions. In the first phase of the method we use a simulation based offline approach to find out the best configurations for message rate and MAC layer parameters for given numbers of vehicles. In the second phase we use the configurations identified by simulations at roadside access point (AP) for system operation. A utilization function is proposed to balance the QoS performances provided to multiple safety applications. It is demonstrated that the proposed method can largely improve the system performance when compared to fixed control method.