This paper presents a Road Detection and Tracking algorithm for Lane Departure Warning Systems. An inverse perspective transformation gives a bird-eye view of the road, where longitudinal road markings are detected by exploration of horizontal gradient, looking for a road marking model. Next, a parabolic lane model is fitted to road markings and tracked through a particle filter. The right and ...

The microscopic simulation of traffic operations at a toll plaza entails the detailed understanding of the driver behavior. The lane selection behavior of the driver involves complex inter-vehicle dynamics. This study involves the development of a new methodology for the microscopic simulation of toll plaza operations. Different driver dynamics such as the lane selection probability based on th...

The death of Dr Joan Lane after a short illness in May of this year is a great and sad loss to her colleagues and friends and to the history of medicine community. Joan was about to take retirement from the University of Warwick, where she had taught for the past twenty-two years. Although she had no intention of ceasing with her research activities, she was planning to spend more time with her...

Dynamic segmentation is a method that facilitates the small areas along a line feature to be referenced without actually breaking the line into pieces. However, the current dynamic segmentation methods are almost developed from 2D roadway centerline network models, and therefore they are unable to support 3D lane-oriented inventory management (e.g. pavement condition, traffic volumes, traffic a...

Software to track sample lanes automatically in four-color, fluorescence-based, electrophoretic gel images has been developed for application in large-scale DNA sequencing projects. Lanes and lane boundaries are tracked by analyzing a first difference approximation to the gradient of a vertically integrated and processed "brightness" profile. Initially lanes are located in a region of the gel i...

This paper presents a robust and reliable system that navigates the wheelchair robot without manual initialization or a priori information in real-time in outdoor environments. The system can extract various lane boundaries including straight and curved lanes under different conditions. It is robust against noise, shadows, and illumination variations in the captured road images. The straight la...

In this paper, we propose a new data-driven model to simulate the process of lane-changing in traffic simulation. Specifically, we first extract the features from surrounding vehicles that are relevant to the lane-changing of the subject vehicle. Then, we learn the lane-changing characteristics from the ground-truth vehicle trajectory data using randomized forest and back-propagation neural net...