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Abstract
<p><strong>Abstract.</strong> Rapid increase in road traffic density results into a serious problem of Traffic Congestion (TC) in cities. During peaks hours TC is very high and hence public search least congested path for their journeys in order to minimize ravel time and hence transportation cost. In this study, a new empirical model was developed to estimate congestion levels using real time road Traffic Parameters (TPs) such as vehicle density, speed, class and vehicle-to-vehicle (V2V) gap. These real time road TPs were collected using latest generation Inductive Loop Detector (ILD) technology. Further, a WebGIS based Road Traffic Information System (RTIS) for Dehradun city was developed for real time TD analyses and visualisation. This RTIS is very useful for public and user departments for planning and decision making processes. No other such system is available in India, which handles multiple traffic parameters simultaneously to provide solution of day-to-day problems.</p>
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The different versions of the original document can be found in:
- https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-5/37/2018 under the license https://creativecommons.org/licenses/by
- http://dx.doi.org/10.5194/isprs-annals-iv-5-37-2018 under the license cc-by
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Published on 01/01/2018
Volume 2018, 2018
DOI: 10.5194/isprs-annals-iv-5-37-2018
Licence: Other
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