We propose a new method for mitigating risk in routing hazardous materials (hazmat), based on the conditional value-at-risk (CVaR) measure on time-dependent vehicular networks. The CVaR models are shown to be flexible and suitable for hazmat transportation that can be solved efficiently. This paper extends the previous research by considering CVaR for hazmat transportation in the case where acc...

AURORA is a vision-based system designed to warn a vehicle driver of possible impending roadway departure accidents. It employs a downward looking color video camera with a wide angle lens, a digitizer, and a portable Sun Sparc workstation. Using a binormalized adjustable template correlation algorithm, it reliably detects lane markers on structured roads at 60 Hz. A time-to-lanecrossing (TLC) ...

Road traffic accidents are the single greatest cause of fatality in the workplace and the primary cause of all accidental death in the US to the age of 78. However, behavioural analysis of response in the final seconds and milliseconds before collision has been a most difficult proposition since the quantitative recording of such events has largely been beyond cost feasibility for road transpor...

Monocular vision-based lane departure warning system has been increasingly used in advanced driver assistance systems (ADAS). By the use of the lane mark detection and identification, we proposed an automatic and efficient camera calibration method for smart phones. At first, we can detect the lane marker feature in a perspective space and calculate edges of lane markers in image sequences. Sec...

Enhanced Emotion Enabled Cognitive Agent Based Rear End Collision Avoidance Controller for Autonomous Vehicles Faisal Riaz, Muaz A. Niazi Dept. Of Computing-Iqra University, Islamabad, Pakistan Dept. Of Computer Sciences-COMSATS, Islamabad, Pakistan Email: [email protected], *[email protected] Abstract Rear end collisions are deadliest in nature and cause most of traffic casualties and inj...

This paper presents a data fusion algorithm which is able to robustly estimate the Time-to-Lane-Crossing (TLC) of a vehicle traveling along a lane on the basis of road images, collected by an on-board videocamera, and kinematic data coming from car sensors. This algorithm is instrumental to built Lane Departure Warning Systems (LDWS) with enhanced predictive capabilities which allow the generat...

Transitions between steady dynamical regimes in diverse applications are often modelled using discontinuities, but doing so introduces problems of uniqueness. No matter how quickly a transition occurs, its inner workings can affect the dynamics of the system significantly. Here we discuss the way transitions can be reduced to discontinuities without trivializing them, by preserving so-called hi...

Darwin's finches comprise a group of 15 species endemic to the Galápagos (14 species) and Cocos (1 species) Islands in the Pacific Ocean. The group is monophyletic and originated from an ancestral species that reached the Galápagos Archipelago from Central or South America. Descendants of this ancestor on the Archipelago then colonized Cocos Island. In the present study, we used sequences of tw...

In this paper, we consider a simple road intersection with traffic light control and suggest queueing model for the flow in intersection. The suggested implements well-known queue state-dependent departure rates. Using model, define optimal scheduling of lights its properties. Activity is illustrated by numerical simulations. It demonstrated that practical conditions allows prevention jams reso...

Urban expansion has become a widespread trend in developing countries. Road networks are an extremely important factor driving the expansion of urban land and require further study. To investigate the relationship between road networks and urban expansion, we selected Beijing, New York, London, and Chicago as study areas. First, we obtained urban land use vector data through image interpretatio...