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...

example, in DVLT experiments which use 16 iterations to transition between lanes, the first MLP would be 1/16 of the total distance (along the line connecting the LCP's) away from the driving lane LCP and 15/16 from the destination LCP. The second MLP would be 1/8 and 7/8, respectively. Because the vehicle is instructed to move toward the MLP, the virtual views become misaligned with their resp...

In this paper we describe an approach to detect and predict the driving trajectory of a preceding vehicle on highway. In particular, we focus on detecting and predicting the changing lane intention and action of the preceding vehicle. Our algorithm employs SVM for driving pattern recognition by integrating two different cues: motion cue and appearance cue, which is trained on two class feature ...

Using a numerical simulation, we study a new version of a two-lane traffic model. This version, which is an extension of the Nagatani model, takes into account more realistic conditions in order to examine some interesting aspects of a two-lane roadway. The densities of cars in the two-lanes, the mean velocity and the phase diagrams are calculated by computer simulations. We find that in this v...

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...

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...

BY XUAN WANG INTRODUCTION For actuated signal control at intersections with multilane approaches, detectors are normally placed in each lane. Two types of traffic detection schemes can be utilized for vehicle detection associated with multiple detectors: single-channel detection and lane-by-lane detection.1 The current single-channel detection method connects detectors in all lanes on an approa...

Lane boundary detection technology has progressed rapidly over the past few decades. However, many challenges that often lead to lane detection unavailability remain to be solved. In this paper, we propose a spatial-temporal knowledge filtering model to detect lane boundaries in videos. To address the challenges of structure variation, large noise and complex illumination, this model incorporat...

We study completely asymmetric 2-channel exclusion processes in 1 dimension. It describes a two-way traffic flow with cars moving in opposite directions. The interchannel interaction makes cars slow down in the vicinity of approaching cars in other lane. Particularly, we consider in detail the system with a finite density of cars on one lane and a single car on the other one. When the interchan...

This paper describes a novel lane detection algorithm for visual traffic surveillance applications under the auspice of intelligent transportation systems. Traditional lane detection methods for vehicle navigation typically use spatial masks to isolate instantaneous lane information from on-vehicle camera images. When surveillance is concerned, complete lane and multiple lane information is ess...