000			03310nam a2200205Ia 4500
008			231012s9999 xx 000 0 und d
082			_aP TH-2740 _bJAC
100			_aJacob, Amal John (PUT21032) _993458
245		0	_aApplications of new data sources in integrated transport planning and public transport operations (Softcopy is also available)
260			_c2023
300			_axvii,85p.
505			_aTable of contents Undertaking i Certificate iii Acknowledgments v Abstract vii Table of contents ix List of figures xiii List of tables xvi Chapter : 1 Introduction 1 1.1 Background 1 1.2 Aim and Objectives 1 1.3 Problem Statement 2 1.4 Research Design and Methodology 2 1.5 Scope 4 1.6 Limitations 4 Chapter : 2 Literature Study 5 2.1 Types of Data Sources 5 2.2 Manual Survey (Traditional Data Sources) 6 2.2.1 Challenges of Manual Survey 7 2.3 ITMS and IOT 7 2.3.1 ITMS (Public Transportation) 8 2.3.2 IOT Devices 11 2.4 Crowdsourced Data 14 2.4.1 Google Maps API 15 2.4.2 Telecom Data 16 2.4.3 Social Media Data 18 2.4.4 Data from other Applications 19 2.5 Open-Source Data 19 2.6 Big Data 21 2.6.1 Tools for BigData Analysis 22 2.7 Literature Analysis 23 2.7.1 Alternatives for Household Survey 23 2.7.2 Alternatives for PT System Study 24 2.7.3 Alternatives for Other Surveys 24 Chapter : 3 Case Studies 26 3.1 Traffic Video Analytics 27 3.1.1 Traffic surveillance cameras 27 3.1.2 Types of surveillance cameras 28 3.1.3 Technical Methods for video analytics 29 3.1.4 Background subtraction Method 30 3.1.5 Steps for Background subtraction Method 30 3.2 Video Analytics through Data from Sky: 30 3.2.1 Process of analysing the video 31 3.2.2 Tools in DataFromSky Viewer Software 31 3.2.3 Analysis through DataFromSky 33 3.2.4 Applications of Video Analytics 35 3.3 Mobile Network big data in Colombo 36 3.4 Drone Survey 39 3.5 OSM Map Extraction 40 3.5.1 BBBike (OSM Extractor) 41 Chapter : 4 General Transit Feed Specification 42 4.1 What is GTFS? 43 4.2 Applications of GTFS Data in India 44 4.2.1 Need of model framework for analysing GTFS data 45 4.2.2 Why R Programming? 45 4.3 Model framework for analysing GTFS data. 46 4.3.1 Basic Overview of the city transit system 46 4.3.2 Interactive maps showing transit routes. 47 4.3.3 Interactive maps showing transit bus stops with no of routes and daily bus trips. 49 4.3.4 Average speed 52 4.3.5 Calculating average headway for each route 54 4.3.6 Number of trips per hour for each line 55 4.3.7 Network Analysis 56 4.3.8 Transit centrality measures 57 4.3.9 Validation of the framework 58 4.3.10 Conclusion 59 Chapter : 5 Challenges and Future research directions 61 5.1 Challenges for GTFS Implementation in India: 61 5.2 Future Research Directions for GTFS Data Analysis: 62 5.3 Conclusion 62 Chapter : 6 Bibliography 64 Chapter : 7 Appendix 69
700			_aSinha, Shalini (Guide)
700			_aVerma, Narendra (Guide) _993459
890			_aIndia
891			_a2021 Batch
891			_aFaculty of Planning
891			_aFP-PG
891			_aUrban Transport
999			_c71329 _d71329