Pervasive smart computing environments make people get accustomed to convenient and secure services. The overall goal of this research is to classify vehicles along the I215 freeway in Salt Lake City, USA. This information will be used to predict future roadway needs and the expected life of a roadway. The classification of vehicles will be performed by a synthesis of multiple sets of features....

Driving behavior models for lane-changing and acceleration form an integral component of microscopic traffic simulators and determine its value in evaluation of different traffic management strategies. The state-of-art model for lane changing adopts a two-level framework: the first level involves a latent or unobserved choice of a target lane; the second level models the acceptance of adjacent ...

This paper presents a robust and reliable lane extraction algorithm to navigate the wheelchair robot in real time in outdoor environments. Seven components have been cooperatively utilized to extract lane boundaries on roads with different conditions. Specifically, three features are efficiently extracted to represent two lane boundaries using the lane boundaries in the previous frame. Three we...

The aim of this research is to study and develop models for driver’s lane-changing behaviour in an urban area using the logistic regression method. A pilot study was conducted using a videotape recording technique to film an approach road leading to a signalised intersection in an urban road during the morning off-peak period. Inter related coding methods were designed to described and verify t...

This paper presents a methodology for extracting road edge and lane information for smart and intelligent navigation of vehicles. The range information provided by a fast laser range-measuring device is processed by an extended Kalman filter to extract the road edge or curb information. The resultant road edge information is used to aid in the extraction of the lane boundary from a CCD camera i...

A robust and efficient lane detection system is an essential component of Lane Departure Warning Systems, which are commonly used in many vision-based Driver Assistance Systems (DAS) in intelligent transportation. Various computation platforms have been proposed in the past few years for the implementation of driver assistance systems (e.g., PC, laptop, integrated chips, PlayStation, and so on)...

This manuscript develops a visual lane detection algorithm using the Hough transform to detect strong lines in a road image as candidates for lane boundaries. The search space in the Hough transform is reduced by searching for lane boundaries where they were detected in the previous video frame. The perspective transform is applied to determine the position and orientation of candidate lines, w...

We brieey review diierent models used nowadays in car following and lane changing for road traac simulation. We compare four recent simulators of traac and we focus on the approaches used in these simulators for performing car following and lane changing. Then we present in more details the algorithms used in the Hipertrans simulator for executing these car following and lane changing tasks.