Lane departure warning system LDWS has been regarded as an efficient method to lessen the damages of road traffic accident resulting from driver fatigue or inattention. Lane detection is one of the key techniques for LDWS. To overcome the contradiction between complexity of algorithm and the real-time requirement for vehicle onboard system, this paper introduces a new lane detection method base...

Residential development in fire-prone wildlands is occurring at an unprecedented rate. Community-based evacuation planning in many areas is an emerging need. In this paper we present a method for using microscopic traffic simulation to develop and test neighborhood evacuation plans in the urban ^wildland interface. The method allows an analyst to map the subneighborhood variation in household e...

According to the National Highway Traffic Safety Administration (NHTSA), more than 43% of all fatal accidents reported in 2001 involved a lane or road departure. There are a number of systems on the market that monitor driver lane position or use radar technology to track the position of other drivers. The majority of these systems and available research focuses on the prevention of longitudina...

Road expansion and associated increases in bunting pressure are a rapidly growing threat to African tropical wildlife. In the rainforests of southern Gabon, we compared abundances of larger (>1 kg) mammal species at varying distances from forest roads and between hunted and unhunted treatments (comparing a 130-km2 oil concession that was almost entirely protected from bunting with nearby areas ...

A new pre-crash safety (PCS) system with pedestrian collision avoidance assist has been developed. This system is capable of detecting both vehicles and pedestrians, and helps the driver to avoid a collision by automatically braking the vehicle by up to 40 km/h, one of the highest rates of deceleration for a PCS system in the world. Pedestrian detection is enabled by a sensing system that combi...

BACKGROUND Volitional risky driving behaviours such as drink- and drug-driving (i.e. substance-impaired driving) and speeding contribute to the overrepresentation of young novice drivers in road crash fatalities, and crash risk is greatest during the first year of independent driving in particular. AIMS To explore the: (1) self-reported compliance of drivers with road rules regarding substanc...

Abstract: We give a survey and unified treatment of functional integral representations for both simple random walk and some self-avoiding walk models, including models with strict self-avoidance, with weak selfavoidance, and a model of walks and loops. Our representation for the strictly self-avoiding walk is new. The representations have recently been used as the point of departure for rigoro...

This paper presents a feature-based machine vision system for estimating lanedeparture of a traveling vehicle on a road. The system uses edge information to define an edge distribution function (EDF), the histogram of edge magnitudes with respect to edge orientation angle. The EDF enables the edge-related information and the lane-related information to be connected. Examining the EDF by the sha...

This paper presents a new Collision Avoidance (CA) Algorithm which uses Elastic Band Theory. Researchers tried to develop warning systems to avoid collisions which warn drivers of possible collision risk with audio and or visual signs. However, these systems are not sufficient for avoidance of a collision in situations where the driver gives no response to the warnings. CA System is a kind of A...