Lane changing manoeuvres of heavy vehicles have significant influence on surrounding traffic characteristics due to the physical effects that the heavy vehicles impose on surrounding vehicles. These effects are the result of heavy vehicles’ length, size, weight and the limitations in their manoeuvrability. Due to the importance of heavy vehicle lane changing manoeuvres, this paper presents an e...

In this study we present evidence that two independent regulatory mechanisms, governing when and where the target will be hit, function together to allow us to hit moving targets. In the first part of the paper we show that subjects anticipate that the targets will have moved by the time they reach them, but that they do not anticipate how far they will have moved. The resulting systematic erro...

Lane changing on highways is stressful. In this paper, we present RASCL, the Robotic Assistance System for Changing Lanes. RASCL combines state-of-the-art sensing and localization techniques with an accurate map describing road structure to detect and track other cars, determine whether or not a lane change to either side is safe, and communicate these safety statuses to the user using a variet...

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...

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...

With the increasing need for road lane detection used in lane departure warning systems and autonomous vehicles, many studies have been conducted to turn road lane detection into a virtual assistant to improve driving safety and reduce car accidents. Most of the previous research approaches detect the central line of a road lane and not the accurate left and right boundaries of the lane. In add...

For satisfactory traffic management of an intelligent transport system, it is vital that traffic microwave radar detectors (TMRDs) can provide real-time traffic information with high accuracy. In this study, we develop several information-aided smart schemes for traffic detection improvements of TMRDs in multiple-lane environments. Specifically, we select appropriate thresholds not only for rem...

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...