Travel Time Prediction Models for Urban Corridor: A Case Study of Delhi

  • Sourabh Jain
  • Parul Madan

Abstract

This study attempts to make use of traffic behaviour on the aggregate level to estimate congestion on urban arterial and sub-arterial roads of a city exhibiting heterogeneous traffic conditions by breaking the route into independent segments and approximating the origin-destination based traffic flow behaviour of the segments. The expected travel time in making a trip is modelled against sectional traffic characteristics (flow and speed) at origin and destination points of road segments, and roadway and segment traffic characteristics such as diversion routes are also tried in accounting for travel time. Predicted travel time is then used along with free flow time to determine the state of congestion on the segments using a congestion index (CI). Travel time is calculated using regression and ANN techniques and comparison has been made. A development of this kind may help in understanding traffic and congestion behaviour practically using easily accessible inputs, limited only to the nodes, and help in improving road network planning and management.

Keywords: Keywords— Congestion; Delay; Origin and Destination; Traffic; Travel Time; ANN

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Jain, S., & Madan, P. (2019). Travel Time Prediction Models for Urban Corridor: A Case Study of Delhi. Asian Journal For Convergence In Technology (AJCT), 5(2). Retrieved from http://asianssr.org/index.php/ajct/article/view/888