Development of Speed Prediction Model for Mixed Traffic Conditions: Case Study of Urban Streets

Abstract

A microlevel analysis of vehicular speed is done to develop model between two mean speeds of vehicles such as time mean speed (TMS) and space mean speed (SMS) under mixed traffic stream. Traffic volume and speeds were collected on a mid-block section of an urban arterial to analyze different stream parameters. Vehicular composition along with the individual speed characteristics of each vehicle class was extracted from the collected field data. Models are framed between the speed characteristics of vehicles estimated from the field. A comparative analysis is also done with the existing traditional model to check the applicability of the suggested model. The result shows that the suggested models are reliable in forecasting vehicular speeds with higher accuracy. © 2019, Springer Nature Singapore Pte Ltd.