000 04644nam a2200169Ia 4500
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082 _aMIED TH-0052
_bNAN
100 _aNanavati, Rutu Himanshu
245 0 _aAdaptive traffic singal control : a case of Ahmedabad (Also available on CD)
260 _c2015
300 _axii,90p.,CD-ROM
505 _aCONTENTS Acknowledgement IV Abstract V List of figures XI List of tables XIIII 1. Introduction 1 1.1. Background 1 1.1.1. ITS in India 3 1.2. Research Problem 3 1.3. Objectives 4 1.3.1. Sub Objectives 4 1.3.2. Research Question 5 1.3.3. Concept of Research 5 1.4. Methodology 7 1.5. Scope and Limitation 8 1.6. Research Outline 9 2. Intelligent Transport System 10 2.1. Introduction 10 2.2. Roles of ITS in Transportation 11 2.3. Benefits of ITS 12 2.3.1. Mobility 13 2.3.2. Traffic Congestion 13 2.3.3. Managing transportation infrastructure more effectively and economically-Productivity 14 2.3.4. Reducing Fatalities and Crash Severity 14 2.3.5. Environmental Impact 15 2.3.6. Improve services for users and increase efficiency of the transportation system operators 15 2.4. Components of ITS 16 2.4.1. Intelligent Traffic Management Systems 16 2.4.2. Intelligent Passenger Information Systems 18 2.4.3. Intelligent Public Transport Systems 19 2.5. Advanced Traffic Management Systems (ATMS) 20 2.5.1. Smart Traffic Signal Control 20 2.5.2. Ramp Metering 21 2.5.3. Automated Red Light Enforcement 23 2.5.4. Incident Management 25 2.6. Intelligent Traffic Signal Control Systems 26 2.6.1. Actuated Traffic Control 27 2.6.2. Traffic Responsive 28 2.6.3. Adaptive Control Strategies (ACS) 28 2.6.4. Fuzzy Logic Control 32 2.7. Summary 33 3. ITS in India 34 3.1. ITS in developing countries 34 3.2. ITS in India 36 3.2.1. Limited growth of ITS India 36 3.2.2. Future scenario of ITS in India 36 3.2.3. ITS in Ahmedabad 37 3.3. Summary 38 4. Transportation in Ahmedabad 39 4.1. Background 39 4.2. Demographic Profile 40 4.3. Transportation 41 4.3.1. Vehicular Growth 41 4.3.2. Road Network 43 4.4. Selection of Case 45 4.4.1. Proposed ITS project 45 4.4.2. Selection of Stretch 46 4.4.3. Testing Parameters 47 4.5. Summary 47 5. Modeling Traffic Flow 48 5.1. Introduction to Simulation 48 5.1.1. Introduction to Traffic Simulation Modeling 49 5.1.2. Use of simulation model 49 5.1.3. Process of Simulation Modeling 50 5.1.4. Driving Behavior (Longitudinal/ Lateral) 50 5.2. VISSIM Model for Traffic Simulation 51 5.2.1. About Vissim 51 5.2.2. System Architecture of VISSIM 52 5.2.3. The “Wiedemann” Approach 54 5.2.4. Input Data 55 5.2.5. Output Characteristics 55 5.3. Data Collection 56 5.3.1. Network Coding 57 5.3.2. Traffic Volume Study 57 5.3.3. Speed Study 59 5.3.4. Signal Control 59 5.3.5. Average Queue Length 60 5.4. Summary 61 6. Calibration of Model 62 6.1. Background 62 6.2. Description of Parameters 62 6.2.1. Car Following model 62 6.2.2. Wiedemann 74 model 63 6.2.3. Lane change Behavior 64 6.2.4. Lateral Behavior 64 6.2.5. Decision model 65 6.2.6. Connector Attributes 65 6.3. Calibration Concept 66 6.4. Comparison of Simulated and Observed results 66 6.5. Summary 67 7. Evaluation of Scenarios 68 7.1. Introduction 68 7.1.1. Signal indication 68 7.1.2. Off-set 69 7.1.3. Co-ordinated Control of Signals 70 7.1.4. Types of Co-ordinated Signal Systems 70 7.2. Scenario Preparation 71 7.2.1. Scenario 1 71 7.2.2. Scenario 2 72 7.3. Analysis of Simulation results – Scenario 1 73 7.3.1. Travel Speed 73 7.3.2. Throughput at junction 73 7.3.3. Average Travel Time 74 7.3.4. Average Delay 74 7.3.5. Queue Length 75 7.4. Analysis of Simulation Results – Scenario 2 75 7.4.1. Travel Speed 75 7.4.2. Throughput at the junction 76 7.4.3. Average Delay 76 7.4.4. Queue Length 77 7.5. Comparative Analysis of Emissions – Scenario 1 78 7.5.1. Emission tables – Scenario 1 78 7.5.2. Emission Charts – Scenario 1 79 7.6. Comparative Analysis of Idle Vehicles – PEAK Scenario 79 7.6.1. Total No. of Idle Vehicles 79 7.6.2. Fuel Consumption due to Idle Vehicles 80 7.6.3. Cost of Fuel Consumed due to Idle Vehicles 80 7.7. Comparative Analysis of Emissions – Scenario 2 81 7.7.1. Emission tables – scenario 2 81 7.7.2. Emission charts – scenario 2 81 7.8. Comparative Analysis of Idle Vehicles – OFF- PEAK Scenario 82 7.8.1. Total No. of Idle Vehicles 82 7.8.2. Fuel Consumed due to Idle Vehicles 82 7.8.3. Cost of fuel consumed due to Idle Vehicles 83 8. Conclusion 84
700 _aAdhvaryu, Bhargav (Guide)
891 _a2013 Batch
891 _aFT-PG
891 _aInfrastructure Engineering Design
999 _c53400
_d53400