This paper presents a lane-departure identification (LDI) system of a traveling vehicle on a structured road with lane marks. As is the case with modified version of the previous EDFbased LDI approach [J.W. Lee, A machine vision system for lane-departure detection, CVIU 86 (2002) 52–78], the new system increases the number of lane-related parameters and introduces departure ratios to determine ...

OBJECTIVE To examine if HIV-seropositive (HIV+) individuals are at risk for impaired driving. METHODS Sixty licensed drivers (40 HIV+, 20 HIV-) completed a neuropsychological (NP) test battery and driving assessments. Eleven HIV+ subjects were NP-impaired. Driving-related skills were assessed using 1) two driving simulations (examining accident avoidance and navigational abilities), 2) the Us...

The main objective of this study was to determine if a minimal increase in road light level (luminance) could lead to improved driving performance among older adults. Older, middleaged and younger adults were tested in a driving simulator following vision and cognitive screening. Comparisons were made for the performance of simulated night driving under two road light conditions (0.6 and 2.5 cd...

This study is an investigation into the roles of wildfire and changing agricultural practices in controlling the inter-decadal scale trends of suspended sediment production from semi-arid mountainous rivers. In the test case, a decreasing trend in suspended sediment concentrations was found in the lower Salinas River, California between 1967 and 2011. Event to decadal scale patterns in sediment...

This paper proposes an agent model with adaptive weight-based multi-objective algorithm to manage road-network congestion problem. Our focus is to construct a quantitative index series to describe the road-network congestion distribution, and use such indexes as weights in the multi-objective algorithm to shunt vehicles on those congested links. First, a multi-agent system is built, where each ...

Two experiments were carried out in a moving-base simulator, in which truck drivers of varying experience levels encountered a rear-end collision scenario on a low-friction road surface, with and without an electronic stability control (ESC) system. In the first experiment, the drivers experienced one instance of the rear-end scenario unexpectedly, and then several instances of a version of the...

Vision-based research in driver support and traffic monitoring systems aiming for collision avoidance and for free traffic jams has attracted a lot of attention lately. In this paper, we propose a robust new extraction method of wheel region for estimating the vehicle position on a road taking the distortion in a circular fisheye image into consideration. In order to make the process more effec...

Nowadays traffic avoidance is most complicated problem in this urban area. This paper proposes how to avoid or quickly cross the traffic in large area based on Ant Colony Optimization (ACO) in VANET. It is proposed for identifying the best path to a destination in the simulation area. It has a traffic factor such as vehicle speed, number of vehicles percent in specific path, road capacity, and ...