Identification of traffic congestion pattern by using real time data : a case of Ahmedabad city (Also available on CD)
Material type: TextPublication details: 2017Description: xviii,90p.,CD-ROMDDC classification:- P TH-2141 PAN
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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Thesis | CEPT Library | Faculty of Planning | P TH-2141 PAN | Not for loan | 017763 |
CONTENTS 1 Introduction 1 1.1 Statement of the research problem 1 1.2 Research Question 1 1.3 Aim 1 1.4 Objectives 1 1.5 Scope and Limitation 2 1.6 Methodology 2 2 Literature Review 4 2.1 Introduction 4 2.1.1 Why does traffic congestion occur? 4 2.1.2 Type of traffic congestion 6 2.1.3 Factor Responsible for Congestion 7 2.2 Research related work 8 2.2.1 Advance Technology and Transportation system 10 2.3 Conclution 11 3 Google Maps 12 3.1 History 12 3.2 Google traffic 12 3.2.1 How Google track traffic 12 3.2.2 The traffic colour in Google Maps 14 4 Research Methodology 15 4.1 PrimarySources of Data 15 4.1.1 Google Traffic Map 15 4.1.2 Site Visit 16 4.1.3 Research Tools Employed in Primary Data Generation 16 4.2 Secondary Sources of Data 17 5 Profile of Ahmedabad City 18 5.1 Introduction 18 5.1.1 Location and Climate 18 5.1.2 History 19 5.1.3 Regional context 19 5.1.4 Growth of the City 20 5.1.5 Physical division of city 20 5.2 Demography and employment 21 5.2.1 Economic Profile 22 5.3 Transportation in Ahmedabad city 22 5.3.1 Road Network at Regional and City Level 23 5.3.2 Registered Motor Vehicles 24 5.3.3 Accident Related Data 26 5.3.4 Existing public Transport Service 26 5.4 Existing Traffic and Travel Characteristics 29 5.4.1 Per Capita Trip Rate . 29 5.4.2 Traffic Characteristics 30 5.5 Intelligent Transportation System (ITS) in India 30 5.5.1 Limited growth of ITS India 30 5.5.2 Future scenario of ITS in India 31 5.5.3 Its in Ahmedabad 31 6 Traffic Congestion Analysis 32 6.1 Data collection calendar 32 6.2 Spatial – Temporal Traffic Congestion 33 6.2.1 Traffic congestion during weekdays (Monday and friday) 34 6.2.2 Traffic congestion during other weekdays 36 6.2.3 Traffic congestion during events 39 7 Cause of traffic congestion 46 7.1.1 On street parking 46 7.1.2 Unplanned Stoppage/ Parking 47 7.1.3 Different speed vehicle 47 7.1.4 Bottlenecks 48 7.1.5 Driver Behaviour 49 7.1.6 Under construction work 49 8 Simulation Model Development 51 8.1 Introduction 51 8.1.1 Type of simulation models 51 8.2 PTV Vissim 53 8.2.1 Model Building 54 8.2.2 Elements 55 8.2.3 Calibration Parameter and Input 58 8.2.4 Evaluation parameter 59 8.3 Scenario development and Analysis 61 8.3.1 Scenario Result 62 8.3.2 Conclusion 73 9 References 74
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