Course Info
Code IND03-105
Duration 5 Days
Format Online
Course Summary
The transport system is a vital component of modern city planning world-wide. However, with older and more traditional systems, there is an increasing number of complications and challenges as the demands of the transport systems have evolved. To address these modern problems, integrating intelligent transportation solutions has been found to be incredibly effective.
For established systems, it can be extremely difficult to address issues such as traffic flow and congestion directly through the physical infrastructure of the system. The transition to utilising intelligent transportation solutions can greatly remove the pressure on the current physical systems. Effective intelligent transportation systems can reduce congestion, increase vehicle safety, and increase user accessibility.
Not only does intelligent transportation systems benefit the users of the system, it is also highly beneficial in reducing costs, increasing investment returns and reducing negative environmental impact.
Intelligent transportation solutions utilise existing and emerging technologies, including commutation and information technologies, to improve traffic systems. Vehicle-to-vehicle (V2V) data communication is becoming increasingly important for this. As V2V technologies have developed, there has been a vast rise in the use of self-driving and operated vehicles.
- To understand the importance of intelligent transportation solutions.
- To review how intelligent transportation benefits a modern society.
- To analyse the details of intelligent transport systems (ITS) architecture.
- To assess the process of planning, designing, and implementing intelligent transport systems.
- To conduct risk assessments and create risk management plans for intelligent systems.
- To implement risk mitigation measures for intelligent transport system projects.
- To understand the role of vehicle-to-vehicle communication.
- To utilise existing and new technologies to improve the level of service in traffic and transport.
This course is designed for anyone with the responsibilities of transportation planning, design, and development. It would be most beneficial for:
- Civil Engineers
- Traffic Engineers
- Urban Planners
- Project Managers
- Chief Technology Officers (CTOs)
- Chief Information Officers (CIOs)
- Strategic Development Managers
- Data Analysts
This course uses a variety of adult learning styles to aid full understanding and comprehension. Participants will review case studies of real-world transport systems and how intelligent solutions have been implemented to resolve major challenges.
They will be provided with all the necessary tools and equipment to carry out the various learning exercises. Alongside the overall case studies, participants will partake in presentations, group discussions and practical demonstrations to ensure they develop a thorough understanding of the taught content. They will also be granted the opportunity to create their own intelligent solutions to examples of traffic issues.
Course Content & Outline
- The history of transport systems.
- How traditional transport systems are evolving into intelligent transport systems.
- The advantages and disadvantages of intelligent transport systems.
- How various factors influence system design – infrastructure, vehicle, and transport mode.
- Concepts and principles of standard design practices.
- The architecture of intelligent transport systems.
- Identifying the needs and demands of existing transport systems.
- Understanding the project lifecycle for intelligent transport systems.
- What factors influence the project development and outcome.
- Assessing goals and objectives for intelligent transport systems and transport solutions.
- The importance of effective risk management.
- Project development, inspection, and quality control.
- Assessing the ideal outcome for the system design.
- Utilising intelligent transport systems to find solutions to common issues such as traffic flow and congestion.
- Reviewing the types of congestion, their causes, and consequences.
- Designing intelligent transport solutions for various congestion types.
- Ensuring transport systems are understandable for users.
- Balancing efficiency with public safety.
- The role of traffic and transport management.
- The functions and structures within traffic and transport management centres.
- Data gathering and analysis.
- Utilising analysed data to further develop intelligent transport solutions for inefficient transport systems.
- Adaptive intelligent transport systems infrastructure.
- The implementation and development of vehicle-to-vehicle communication.
- The popularisation of self-driving vehicles.
- The use of mobility data for urban planning and development.
- Hyperloop and its potential to completely evolve how transport systems are utilised.
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