Lane detection is an important element in improving driving safety. In this paper, we propose a real-time and illumination invariant lane detection method for lane departure warning system. The proposed method works well in various illumination conditions such as in bad weather conditions and at night time. It includes three major components: First, we detect a vanishing point based on a voting...

An integral component of Autonomous Driver Assistance system is the robust detection and tracking of lane markings. It is a rigid problem due to large appearance variations in lane markings caused by factors such as improper illumination (transition from day to night), occlusion (traffic on the road), shadows from objects, etc. In this paper, we present a robust partition based lane detection a...

Many people die each year in roadway departure crashes caused by driver inattention. Lane detection systems are useful in avoiding these accidents as safety is the main purpose of these systems. Such systems have the goal to detect the lane marks and to warn the driver in case the vehicle has a tendency to depart from the lane. A lane detection system is an important element of many intelligent...

In this report a new designed real-time lane detection algorithm based on monocular vision and inertial measurement unit (IMU) is explained and evaluated. The acquired image from the camera is undergoing an inverse perspective mapping to create a bird-view perspective of the road. Local maxima in this image determine the lane-markers. Faulty local maxima are removed and constrained line fitting...

Frequent lane-changes in highway merging, diverging, and weaving areas could disrupt traffic flow and, even worse, lead to accidents. In this paper, we propose a simple model for studying bottleneck effects of lane-changing traffic and aggregate traffic dynamics of a roadway with lane-changing areas. Based on the observation that, when changing its lane, a vehicle affects traffic on both its cu...

Lane changing can increase or impede the flow of vehicular traffic, depending on traffic density and the lane-changing strategies used by individual drivers. We implement and extend the Nagel-Schreckenberg (N-S) traffic model as an agent-based model to investigate lane-changing behavior on a multi-lane roadway, with the goal of determining which lane changing strategies result in the greatest o...

Several ITS-based countermeasures are currently being deployed in workzones to enhance both the safety and the mobility of drivers. One of the functions of interest deals with lane management identified in previous studies as dynamic lane merging. The dynamic lane merging, can take two forms; dynamic early merge and dynamic late merge. Previously suggested dynamic lane merging techniques may be...

We extend previously defined particle filters for lane detection by using a more general lane model supporting the use of two independent particle filters for detecting left and right lane borders separately, by combining multiple particles, traditionally used for identifying a winning particle in one image row, into one superparticle, and by using local linear regression for adjusting detected...

bus rapid transit is an innovative, high capacity, lower cost public transit solution in metropolitan cities. idea is to dedicate lanes for quick and efficient transport of passengers to their destinations. in the present investigation the environmental impact assessment of bus rapid transit  in tehran metropolitan city is brought out. for this purpose bus rapid transit lane no. 10 is investiga...