Speed control on high speed roads. Final report.

Federal Highway Administration, Traffic Systems Division, Washington, D.C.

The development of a speed monitoring program for Indiana.

Indiana Department of Transportation, Indianapolis

Speed and accidents. Phase 1. Interim report.

National Highway Safety Bureau, Washington, D.C.

Speed zoning and control. Final report.

Texas State Department of Highways and Public Transportation, Transportation Planning Division, Austin

The safety impact of the 65 mph speed limit: a case study using Alabama accident records. Final grant report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

Computerized allocation of police traffic services; a demonstration study. Final report.

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

Computerized allocation of police traffic services; reference volume I. Computer-sensor system description. Final report.

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

Highway safety : monitoring practices to show compliance with speed limits should be reexamined.

"B-229461"--P. 1.

Conceptual plan for an interactive highway safety design model. Final report.

Federal Highway Administration, Office of Safety and Traffic Operations Research and Development, McLean Va.

Accident and speed studies in construction zones. Final report.

Federal Highway Administration, Office of Research and Development, Washington, D.C.

A Novel Framework for Real-time Traffic Flow Parameter Estimation from Aerial Videos

Thesis (Master's)--University of Washington, 2016-06

Modeling collision avoidance decisions in navigation

Due to grave potential human, environmental and economical consequences of collisions at sea, collision avoidance has become an important safety concern in navigation. To reduce the risk of collisions at sea, appropriate collision avoidance actions need to be taken in accordance with the regulations, i.e., International Regulations for Preventing Collisions at Sea. However, the regulations only provide qualitative rules and guidelines, and therefore it requires navigators to decide on collision avoidance actions quantitatively by using their judgments which often leads to making errors in navigation. To better help navigators in collision avoidance, this paper develops a comprehensive collision avoidance decision making model for providing whether a collision avoidance action is required, when to take action and what action to be taken. The model is developed based on three types of collision avoidance actions, such as course change only, speed change only, and a combination of both. The model has potential to reduce the chance of making human error in navigation by assisting navigators in decision making on collision avoidance actions.

A data analytics case study assessing factors affecting pavement deflection values

Road networks are a national critical infrastructure. The road assets need to be monitored and maintained efficiently as their conditions deteriorate over time. The condition of one of such assets, road pavement, plays a major role in the road network maintenance programmes. Pavement conditions depend upon many factors such as pavement types, traffic and environmental conditions. This paper presents a data analytics case study for assessing the factors affecting the pavement deflection values measured by the traffic speed deflectometer (TSD) device. The analytics process includes acquisition and integration of data from multiple sources, data pre-processing, mining useful information from them and utilising data mining outputs for knowledge deployment. Data mining techniques are able to show how TSD outputs vary in different roads, traffic and environmental conditions. The generated data mining models map the TSD outputs to some classes and define correction factors for each class.

Modification of the formation of high-Mach number electrostatic shock-like structures by the ion acoustic instability

The formation of unmagnetized electrostatic shock-like structures with a high Mach number is examined with one- and two-dimensional particle-in-cell (PIC) simulations. The structures are generated through the collision of two identical plasma clouds, which consist of equally hot electrons and ions with a mass ratio of 250. The Mach number of the collision speed with respect to the initial ion acoustic speed of the plasma is set to 4.6. This high Mach number delays the formation of such structures by tens of inverse ion plasma frequencies. A pair of stable shock-like structures is observed after this time in the 1D simulation, which gradually evolve into electrostatic shocks. The ion acoustic instability, which can develop in the 2D simulation but not in the 1D one, competes with the nonlinear process that gives rise to these structures. The oblique ion acoustic waves fragment their electric field. The transition layer, across which the bulk of the ions change their speed, widens and their speed change is reduced. Double layer-shock hybrid structures develop.

Avaliações clínicas e metabólicas de cavalos da raça Árabe submetidos a exercício progressivo em esteira

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)