Journals Proceedings

Abstract

A sustainable condition for this planet is one in which there is stability for both social and physical systems, achieved through meeting the needs of the present without compromising the ability of future generations to meet their own needs. Over a last decade, planning authorities in developing countries moved from conventional approach to integrated approach in urban planning activities. Transportation planning and management needs accurate and timely spatial and nonspatial information like network, capacity, speed etc. Collecting microscopic data is difficult under heterogeneous traffic conditions. In this paper, an attempt is made to study a microscopic analysis of traffic data using video image processing software TRAZER. This system can automatically analyze traffic videos and provide macroscopic traffic characteristics such as classified vehicles flows, average vehicle speeds and average occupancies and microscopic characteristics such as individual vehicle trajectories, lateral, and longitudinal spacing. TRAZER underlying ability to detect, track and classify vehicles makes it useful in collecting traffic data under varying traffic conditions.