The dynamic behavior of a car can be modeled as a hybrid system involving continuous state changes and discrete state transitions. However, we show that the control of safe (collision free) lane change maneuvers in multi-lane traffic on highways can be described by finite state machines extended with continuous variables coming from the environment. We use standard theory for controller synthes...

Lane departure warning system LDWS has been regarded as an efficient method to lessen the damages of road traffic accident resulting from driver fatigue or inattention. Lane detection is one of the key techniques for LDWS. To overcome the contradiction between complexity of algorithm and the real-time requirement for vehicle onboard system, this paper introduces a new lane detection method base...

The lane reversal has proven to be a useful method to mitigate traffic congestion during rush hour or in case of specific events that affect high traffic volumes. In this work we propose a methodology that is placed within optimization via Simulation, by means of which a multi-objective genetic algorithm and simulations of traffic are used to determine the configuration of ideal lane reversal. ...

Automatic response to lane-blocking incidents is a critical issue in the field of automated highway systems (AHS). Accordingly, this paper presents a microscopic vehicular control methodology for automatic-control (AC) vehicular movements in response to lane-blocking incidents in the AHS environment. The embedded traffic control logic is based on the basic safety requirements for automatic-cont...

Visualization of vehicle detection (VD) data is essential because the data play an important role in traffic control and policy development. Most previous works focus on visualizing trajectories obtained from global positioning system (GPS), which are detailed but less representative. In contrast, VD data report the traffic statistic at each sensing site during a time span, including speed, flo...

In view of the limited anti-noise of traditional traffic lane edge detection algorithm, the paper put forward to a new traffic lane edge detection algorithm based on traditional mathematical morphology. For solving the problem of uneven road surface caused by illumination and rainy, this paper combine two method of morphological filter and Otsu to segment image and take the improved algorithm t...

To improve traffic safety and mobility in work zone areas, the Dynamic Lane Merge (DLM) systems, intelligent work zone traffic control systems, have been explored by several states of the U.S.A. The DLM can take two forms; dynamic early merge and dynamic late merge. The DLM systems were designed to advise drivers on definite merging locations. Up to date, there are no studies that contrast both...

Dramatically increasing travel demands and insufficient traffic facility supplies have induced severe traffic congestion. High Occupancy Toll (HOT) lane operation has been proposed as one of the most applicable and acceptable countermeasures against freeway congestion. By balancing pricing and vehicle occupancy constraints, HOT lane operations can realize the optimal traffic allocation and enha...

This paper presents a much advanced and efficient lane detection algorithm. The algorithm is based on (ROI) Region of Interest segmentation. In this algorithm images are pre-processed by a top-hat transform for de-noising and enhancing contrast. ROI of a test image is then extracted. For detecting lines in the ROI, Hough transform is used. Estimation of the distance between Hough origin and lan...

As traffic demand on road networks steadily increases every year, the need for alleviation of global congestion arises. Our contribution lies in assisting of traffic engineers and policy makers who are faced with the problem of controlling the traffic flows. In this paper, we explore the usefulness of cellular automata to traffic flow modeling. We extend some of the existing CA models to captur...