Visual Analysis of Thane Intelligent Transport System

Abstract

In fast growing countries like India, the focus on improvement of urban public transport services is essential. We must focus on enhancement of service features like route optimization, trip reliability, optimizes infrastructure including fleet size, and solution towards traffic problems. Importantly, the city transport system needs a continuous upgradation for augment services. Under Smart City mission, 83 out of 100 shortlisted smart cities have implemented an Integrated Command and Control Centre (ICCC) to gather, analyze, evaluate, and respond to big data inputs from various smart city projects. The database of transport systems consists various amorphous structure which requires proper preprocessing before analysis. Due to various fields and large spectrum of details, it is difficult to analyze without proper tools of visualization supported with infographic details. This becomes essential feeder for various stakeholder including citizen, administrators and policy makers. Historical transport data of April 2022 pertaining to Thane Smart city have been analyzed. The preprocessing and visualization have been carried out by looking future large-scale integration. The obtained raw data has three components i.e. GPS tracking data for buses, trip entry data handled by conductor/operator and route wise ticket collection details managed by conductors. Some typical errors have been identified and corresponding data have been cleaned. The cleaned data is preprocessed with various requisite details for visual analysis. Various analysis reports have been prepared for dashboard visualization. All reports contain interactive details with infographics. We have reported various critical features for visualization and analytics of Intelligent Public Transport system. The actual number of trips, total date wise and slot wise trips, route wise and time slot wise ticket collection have been correctly identified. Apart from the same, Common data tables designed for various analysis have also been suggested. It is also recommended to have essential attributes in all smart cities ITS systems for visualization dashboards.