In the ever-growing travel demand, traffic congestion on freeways and expressways recurs more frequently at a higher number of locations and for longer durations with added severity. This becomes especially true in large metropolitan areas. Particular to the urban areas, excessive crowdedness caused by inefficient traffic control also results in urban street networks operating in near or over-s...

We explore the geometry linking the shape of a curved mirror surface to the distortions it produces on a scene it reflects. Our analysis is local and differential. We assume a simple calibrated scene composed of lines passing through a point. We demonstrate that local information about the geometry of the surface may be recovered up to the second order from either the orientation and curvature ...

Metropolitan scale studies of transport-based air pollution have emphasized inputs from the passenger vehicle fleet, with minimal attention given to the role of urban goods movement. Furthermore, little is known about the spatial distribution of transport related emissions. This study uses an integrated urban land use and transport model (IMULATE) for Hamilton, Canada, to examine the contributi...

Traditionally, urban analysis has been quick to adopt and benefit from developments in technology (e.g., microcomputer, GIS) and techniques (e.g., statistics, mathematical programming). This has not been the case, however, with newer methods of spatial analysis – in particular, spatial statistics. Only recently has this situation started to change. This paper documents the confluence of spatial...

Abstract Reinforcement Learning (RL) uses rewards to have iteration and update the next state for training in an unknown complex environment. This paper aims find a possible solution traffic congestion problem train four Deep (DRL) algorithms verify urban intersection simulation environment different discussed dimensions, including practicability, efficiency, safety, complexity, limitation. The...

Air pollution represents one of the most complex problems humanity. Traffic contributes significantly to this by emitting large amounts harmful gases. This problem is particularly pronounced at urban intersections due frequent changes in vehicle movement dynamics. paper primarily presents influence intersection geometry on pollutant emissions levels. In addition, various traffic policies promot...

Many researchers conducted the effort for improving the classification accuracy of satellite image. Most of the study has used optical spectrum information of each pixel for image classification. By applying this method for high resolution satellite image, number of class becomes increase. This situation is remarkable for urban area. Most of the case, we need the information about land use. In ...