Urban Traffic Engineering, Modelling and Intersection Design Training Course

Course Introduction

Urban traffic engineering is a fundamental discipline in transportation planning and infrastructure development, focusing on improving mobility, safety, efficiency, and sustainability within rapidly growing urban environments. Effective traffic management requires advanced understanding of traffic flow behaviour, intersection operations, transportation modelling, signal control systems, and road network optimization. The Urban Traffic Engineering, Modelling and Intersection Design Training Course provides participants with comprehensive knowledge and practical skills in traffic analysis, urban mobility planning, intersection design, simulation techniques, and intelligent transportation solutions using modern engineering practices and international standards.

The increasing challenges of urban congestion, population growth, vehicle demand, pedestrian safety concerns, public transport integration, and environmental pressures require transportation professionals to apply advanced traffic engineering methodologies. This course introduces participants to traffic flow theory, travel demand analysis, traffic surveys, capacity analysis, intersection geometry, signal timing optimization, roundabout design, pedestrian and cycling facilities, public transport priority systems, and urban mobility strategies. Participants will gain practical expertise in analysing traffic conditions, designing efficient intersections, reducing congestion, improving road safety, and enhancing urban transportation performance.

Through practical engineering workshops, traffic data collection exercises, intersection analysis activities, simulation modelling sessions, traffic impact assessments, engineering software demonstrations, case studies, and real-world urban transportation projects, participants will develop competencies in traffic forecasting, network analysis, intersection evaluation, signal optimization, queue analysis, level of service assessment, and multimodal transportation planning. The course emphasizes practical methodologies that improve traffic operations, enhance mobility, reduce delays, increase safety, and support sustainable urban development.

The course also explores emerging technologies transforming urban traffic engineering, including artificial intelligence, machine learning, digital twins, Building Information Modelling (BIM), geographic information systems (GIS), connected vehicle technologies, autonomous transportation systems, Internet of Things (IoT) traffic sensors, smart traffic signals, real-time traffic monitoring platforms, predictive analytics, and intelligent transportation systems (ITS). Participants will understand how digital technologies improve traffic prediction, optimize intersection performance, support adaptive traffic control, and enable data-driven urban mobility management.

Special emphasis is placed on sustainable urban transportation, smart city planning, climate-resilient mobility solutions, road safety improvement, public transport integration, active mobility, accessibility, environmental considerations, regulatory compliance, and lifecycle transportation planning. Participants will gain practical knowledge for designing efficient urban traffic systems, managing congestion, improving intersection safety, reducing emissions, and developing future-ready transportation networks.

Upon successful completion of the course, participants will possess advanced competencies in urban traffic engineering, transportation modelling, intersection design, intelligent transportation systems, and mobility management. These capabilities enable professionals to improve urban transport efficiency, strengthen engineering decisions, optimize traffic operations, reduce congestion risks, ensure compliance with modern standards, and successfully deliver safe, sustainable, and intelligent urban transportation infrastructure.

Duration

10 days

Who Should Attend

• Traffic Engineers

• Transportation Engineers

• Urban Planners

• Highway Engineers

• Civil Engineers

• Municipal Transportation Officials

• Road Safety Engineers

• Traffic Modelling Specialists

• Intelligent Transportation System Professionals

• Public Transport Planners

• Infrastructure Consultants

• Urban Development Professionals

• Highway Design Engineers

• Transport Project Managers

• Government Transport Authority Officials

• University Engineering Lecturers

Course Objectives

• Develop advanced expertise in urban traffic engineering principles and mobility management strategies that improve transportation efficiency, safety, and sustainability.

• Master traffic flow theory, transportation analysis methods, traffic surveys, and operational evaluation techniques supporting urban mobility planning.

• Strengthen competencies in intersection design, geometric optimization, signal control strategies, roundabout planning, and traffic performance improvement.

• Gain practical knowledge of traffic modelling approaches, simulation techniques, demand forecasting, and network analysis for complex urban transportation systems.

• Learn advanced methods for traffic impact assessment, congestion analysis, queue evaluation, and level of service determination for urban road networks.

• Enhance capabilities in transportation software applications, simulation modelling, data analysis, and predictive methods supporting traffic engineering decisions.

• Develop practical skills in traffic signal optimization, adaptive control systems, intelligent transportation technologies, and real-time traffic management solutions.

• Build expertise in integrating GIS, BIM, digital twins, artificial intelligence, machine learning, IoT sensors, connected vehicles, and predictive analytics into traffic engineering workflows.

• Improve understanding of sustainable urban mobility, pedestrian safety, cycling infrastructure, public transport integration, and smart city transportation strategies.

• Explore emerging innovations including autonomous vehicle systems, smart intersections, automated traffic monitoring, and next-generation intelligent transportation platforms.

• Strengthen leadership, multidisciplinary collaboration, technical communication, engineering reporting, stakeholder coordination, and project management skills required for urban transportation projects.

• Equip participants with practical strategies to optimize traffic operations, reduce congestion, improve safety, and deliver efficient urban mobility solutions.

Course Outline

Module 1: Fundamentals of Urban Traffic Engineering

• Principles and applications of modern traffic engineering systems

• Characteristics of urban transportation networks and mobility challenges

• Traffic engineering standards and operational guidelines

• Relationship between land use and transportation demand

Module 2: Traffic Flow Theory and Analysis

• Fundamental concepts of traffic flow characteristics

• Speed, density, and volume relationship analysis

• Traffic stream behaviour and operational evaluation

• Application of traffic flow theory in urban planning

Module 3: Traffic Data Collection and Analysis

• Traffic survey methods and data collection techniques

• Vehicle classification and traffic volume analysis

• Travel time, delay, and queue measurement methods

• Data processing and interpretation for engineering decisions

Module 4: Urban Transportation Modelling

• Principles of travel demand forecasting models

• Trip generation, distribution, and assignment methods

• Traffic simulation modelling approaches

• Calibration and validation of transportation models

Module 5: Intersection Design Principles

• Fundamentals of intersection planning and operation

• Intersection geometry and channelization strategies

• Capacity analysis and performance evaluation methods

• Safety considerations in intersection design

Module 6: Traffic Signal Design and Optimization

• Signal timing principles and control strategies

• Traffic signal coordination techniques

• Adaptive signal control technologies

• Signal performance monitoring and improvement methods

Module 7: Roundabouts and Alternative Intersection Designs

• Modern roundabout design principles and applications

• Comparison of intersection control alternatives

• Traffic safety benefits of innovative intersection layouts

• Operational analysis of alternative intersection configurations

Module 8: Pedestrian and Non-Motorized Transport Planning

• Pedestrian facility design and safety considerations

• Cycling infrastructure integration within urban networks

• Accessibility requirements for inclusive transportation

• Active mobility planning strategies

Module 9: Traffic Impact Assessment

• Principles of traffic impact studies for developments

• Assessment of additional traffic demand effects

• Mitigation strategies for transportation impacts

• Reporting requirements and engineering recommendations

Module 10: Intelligent Transportation Systems

• Smart traffic management technologies and applications

• Connected vehicle infrastructure and communication systems

• Real-time traffic monitoring and control platforms

• Data-driven transportation management strategies

Module 11: Digital Technologies in Traffic Engineering

• Geographic Information Systems for transportation analysis

• Building Information Modelling integration with urban mobility

• Digital twins supporting traffic network management

• Artificial intelligence applications in traffic prediction

Module 12: Traffic Simulation and Software Applications

• Traffic modelling software concepts and applications

• Microsimulation techniques for intersection analysis

• Scenario evaluation and operational comparison methods

• Interpretation of simulation results for design decisions

Module 13: Urban Traffic Safety Engineering

• Road safety analysis within urban environments

• Crash investigation and risk reduction methods

• Safe intersection design principles

• Vulnerable road user protection strategies

Module 14: Sustainable Urban Mobility Planning

• Low-carbon transportation planning approaches

• Public transport integration and priority systems

• Climate-resilient urban mobility strategies

• Sustainable traffic management solutions

Module 15: Emerging Trends in Traffic Engineering

• Artificial intelligence applications in traffic optimization

• Autonomous vehicles and future road networks

• Smart city mobility management technologies

• Advanced predictive analytics for transportation planning

Module 16: Practical Urban Traffic Engineering Workshop

• Complete intersection design using real urban case studies

• Traffic modelling and simulation exercises

• Signal optimization and congestion mitigation planning

• Final project presentation with technical review and recommendations

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.