@article{ref1,
title="Modeling time mean speed and space mean speed for heterogeneous traffic conditions",
journal="Transportation planning and technology",
year="2011",
author="Seetharaman, Padma and Errampalli, Madhu and Senathipati, Velmurugan and Shukla, Anuradha and Gangopadhyay, Subhamay",
volume="34",
number="8",
pages="823-838",
abstract="This paper analyzes vehicular speeds at a micro level and studies the relationships between the important elements of speed, namely space mean speed (SMS) and time mean speed (TMS) under heterogeneous traffic conditions. Vehicular speed data were collected at selected road stretches around Delhi, India, in an attempt to understand and model the type of relationships between SMS and TMS under heterogeneous traffic conditions. To demonstrate the superiority of the proposed models, comparisons are made with existing traditional models. The results reveal that the proposed models are consistent in predicting speeds with high accuracy.<p />",
language="en",
issn="0308-1060",
doi="10.1080/03081060.2011.613593",
url="http://dx.doi.org/10.1080/03081060.2011.613593"
}