Regression-Based Model for Prediction of Road Traffic Congestion: A Case Study of Janpath Segment in Bhubaneswar City

With the integration of communication and information technology in the traffic management system, it is becoming possible to make much-needed changes in the way people commute in big cities. By introducing different modes of commuting, advanced infrastructure, solution related to traffic and mobility management, it is getting feasible to enhance the overall efficacy of the system in terms of overall performance and expenditure. With the help of advanced and emerging communication technologies, a smart and safe mode of traffic management can be ensured. The present work has been inspired by the potential problems arising due to random urban growth. This study is carried out for the capital city of Odisha, that is Bhubaneswar, which is growing spatially and population-wise at exponential rate. The present work has identified one of the important aspects related to the urban traffic management such as analysis and monitoring of traffic congestion. A regression-based model has been proposed to identify and predict the locations for traffic congestion. The model is validated considering a particular road segment in the study area using a geospatial analysis based on geographic information system (GIS). With the increasing significance of urban traffic problems, the application of geographic information system (GIS) can greatly improve the operational efficiency of urban traffic management system. Urban traffic management system based on GIS has become an important part of Intelligent Traffic System (ITS). ITS based on GIS is an open and comprehensive system engaged in control, management and decision-making.