Study of traffic for sustainable transportation using image processing

E., RASULMOHIDEEN and K., YOGESWARI (2014) Study of traffic for sustainable transportation using image processing. In: International Conference on Advances in Civil, Structural, Environmental and Bio-Technology - CSEB 2014, 08-09 March, 2014, Kuala Lumpur, Malaysia.

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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 non-spatial 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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Microscopic data, heterogeneous traffic data collection, video image processing, trazer
Depositing User: Mr. John Steve
Date Deposited: 11 May 2019 10:53
Last Modified: 11 May 2019 10:53
URI: http://publications.theired.org/id/eprint/2214

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