Unit 2192: Comprehensive Transportation Systems Engineering

1. Traffic Flow Theory

1.1 Introduction to Traffic Flow

• Definitions and importance
• Components of traffic stream: flow, density, speed

1.2 Traffic Stream Characteristics

• Fundamental traffic variables
• Measurement techniques

1.3 Flow-Density and Speed-Flow Relationships

• Fundamental diagrams
• Greenshields, Greenberg, and other models

1.4 Factors Affecting Traffic Flow

• Roadway characteristics
• Driver behavior and vehicle characteristics
• External influences (weather, incidents)

2. Traffic Simulation Models

2.1 Overview of Traffic Simulation

• Purpose and applications

2.2 Microscopic Simulation Models

• Vehicle-level modeling
• Examples: car-following, lane-changing models

2.3 Mesoscopic Simulation Models

• Hybrid approaches
• Aggregated vehicle groups with individual behavior

2.4 Macroscopic Simulation Models

• Aggregate flow models
• Fluid-dynamic analogies

2.5 Applications of Simulation Models

• Traffic pattern analysis
• System optimization and scenario testing

3. Intelligent Transportation Systems (ITS)

3.1 Introduction to ITS

• Definition and scope

3.2 Traffic Signal Control Systems

• Fixed-time and adaptive control
• Coordinated signal systems

3.3 Dynamic Message Signs and Traveler Information Systems

• Real-time information dissemination
• Impact on driver behavior

3.4 Advanced Traveler Information Systems (ATIS)

• Technologies and data sources
• Integration with navigation and mobile apps

3.5 Role of ITS in Traffic Efficiency and Safety

• Congestion mitigation
• Incident management

4. Transportation Network Analysis

4.1 Transportation Network Concepts

• Nodes, links, and network representation

4.2 Traffic Assignment Models

• User equilibrium vs system optimum
• Methods of assignment

4.3 Shortest Path Algorithms

• Dijkstra’s algorithm
• A* algorithm

4.4 Network Equilibrium Models

• Wardrop’s principles
• Mathematical formulations

4.5 Optimization Techniques

• Linear and nonlinear programming
• Heuristics and metaheuristics

5. Sustainable Transportation Planning

5.1 Principles of Sustainability in Transportation

• Environmental, social, and economic dimensions

5.2 Transit-Oriented Development (TOD)

• Concepts and benefits
• Case studies

5.3 Active Transportation Infrastructure

• Bicycle lanes, pedestrian pathways
• Safety and accessibility considerations

5.4 Green Transportation Policies

• Emission reduction strategies
• Incentives for clean vehicle technologies

5.5 Impact Assessment

• Measuring carbon footprint
• Sustainable indicators

6. Traffic Safety and Crash Analysis

6.1 Traffic Safety Fundamentals

• Safety concepts and terminology

6.2 Crash Data Collection and Analysis

• Sources of crash data
• Statistical methods

6.3 Safety Evaluation Methodologies

• Risk analysis
• Predictive and diagnostic approaches

6.4 Countermeasures and Road Safety Improvements

• Engineering, education, enforcement
• Case studies and best practices

7. Public Transportation Systems

7.1 Overview of Public Transport Modes

• Bus Rapid Transit (BRT)
• Light Rail Transit (LRT)
• Subway/Metro systems

7.2 Design and Operation

• Route planning and scheduling
• Vehicle and infrastructure requirements

7.3 Management and Performance Evaluation

• Service quality metrics
• Cost and fare management

7.4 Role in Urban Mobility and Sustainability

• Reducing private vehicle dependency
• Integration with multimodal transport

8. Transportation Demand Management (TDM)

8.1 Introduction to TDM

• Goals and strategies

8.2 Congestion Pricing

• Types and implementation
• Impacts on traffic volume

8.3 Carpooling and Ridesharing Programs

• Operational models
• Incentives and challenges

8.4 Parking Management Policies

• Pricing and regulation
• Effects on travel behavior

8.5 Effectiveness of TDM Strategies

• Case studies
• Evaluation metrics

9. Freight Transportation Planning

9.1 Freight Demand Modeling

• Characteristics of freight movement
• Demand forecasting techniques

9.2 Logistics and Supply Chain Optimization

• Distribution network design
• Inventory and routing strategies

9.3 Intermodal Transportation Systems

• Modes integration
• Transfer facilities and hubs

9.4 Policies and Regulations

• Freight mobility policies
• Environmental and safety considerations

9.5 Enhancing Freight Efficiency

• Technologies and innovations
• Case studies