Traffic congestion costs cities time, money, and air quality every single day, and fixing it starts with understanding demand before adding more asphalt. This course from the Arab British Fellowship Training Academy trains attendees to read travel behaviour, forecast demand accurately, and model transport networks so that mobility decisions are based on evidence rather than guesswork.

From there, the programme moves into application: managing congestion and designing sustainable mobility strategies, integrating transport policy with urban planning, and exploring smart transportation innovations such as ride-sharing and intelligent systems. A closing module on cost-benefit analysis ties every strategy back to measurable economic value, preparing attendees to plan and justify transportation projects with confidence.

• Analyse travel behaviour and apply data collection techniques to understand transport demand.
• Use advanced transport modelling and forecasting to project future demand and evaluate mobility strategies.
• Design sustainable mobility and congestion-management strategies for urban and rural contexts.
• Integrate transportation policy with urban planning to improve system efficiency.
• Apply multimodal planning principles and evaluate smart transportation innovations, including ride-sharing platforms.
• Conduct cost-benefit analysis to assess the economic feasibility of transportation projects.

Target Audience

• Urban planners, transportation engineers, and public sector officials working on transportation policy.
• Logistics and supply chain professionals, academics, and researchers in transport studies.
• Anyone interested in sustainable transport solutions.

Module 1: Understanding Travel Demand

• Overview of transportation systems and the importance of demand management in urban and rural contexts.
• Factors influencing travel demand, and the tools and techniques used to analyse travel patterns.

Module 2: Measuring and Forecasting Demand

• Methods for data collection in transportation studies, and techniques for forecasting demand and analysing trends.
• Basics of transportation modelling tools and simulation techniques for evaluating mobility strategies.

Module 3: Managing Congestion and Planning Sustainable Mobility

• Identifying the causes of traffic congestion and strategies for improving traffic flow and reducing delays.
• Principles of sustainable transportation and the role of public transport systems in managing demand.

Module 4: Policy, Planning, and Smart Innovation

• Developing and implementing effective transportation policies integrated with urban development plans.
• Emerging trends in smart mobility solutions, ride-sharing platforms, and intelligent transport systems.

Module 5: Making the Economic Case

• Evaluating the economic feasibility of transportation projects.
• Tools and techniques for performing cost-benefit analysis.