This briefing paper is a call to action on the use of data in the Transport Industry. Together, government, industry and the wider IM community can work to create an environment where organisations are able to safely and securely share data in a way that respects privacy and which unlocks substantial economic, social and environmental benefits for the UK.

Technology is increasingly being used to plan, book, pay for and manage journeys. Whilst such innovations are on the increase, so too are the number of older people living in Great Britain. For transport in our society to be accessible to as many people as possible, it is therefore important that older people are able and willing to engage with such technologies. This report was commissioned to both encourage and enable developers and commissioners of customer-facing transport technologies to better consider the needs of older travellers.

This report was launched at the 2017 Accessibility and Innovation conference jointly hosted by the TSC and Department for Transport.

This report is a research and analysis piece that set out to understand the implications of the inter actions between the evolving cyber security and intelligent mobility landscapes over the next 10 years. By understanding the key trends, messages and challenges that frame this future space from over 70 sources of secondary data and UK-based thought leader interviews, new opportunities and recommended actions were determined.

The UK has always been a global leader in the field of transportation. It is now time to be
the global leader in transport systems. This leadership can only be delivered by people
and we must act now to develop the skills and capabilities that will drive growth and help
secure a significant share of the global £900 billion market by 2025.

The launch of this Intelligent Mobility Skills Strategy marks a critical milestone and is a call to action for government, academia and industry. Following months of collaborative research and with significant input from a wide range of stakeholders, we are pleased to be publishing our perspective on an Intelligent Mobility Skills Strategy. We know this document is not the full answer. It will however form the start of a debate – much more has to be done. New markets and new capabilities will always be shrouded by uncertainty, but we aim to foster a shared vision and direction for all organisations interested in developing the skills needed for Intelligent Mobility.

The global transport system is changing. Technology innovators are creating products and services that are solving long-standing problems. This is helping more passengers travel safer and quicker, with a better experience and less impact on our environment.

This innovation is driving growth, encouraging a new breed of transport start-ups and changing the business model for large established multi-nationals. Autonomous vehicles might be the poster child for this revolution but the digitisation of transport is leading to rapid progress across the sector. This new approach is defined as Intelligent Mobility (IM) and uses emerging technologies to move people and goods more smartly and efficiently.

This new market for IM is already estimated at £275bn globally. In this report we look at the latest statistics for potential growth in this market towards 2025.

This report seeks to set out what MaaS is, how it can help us travel, and what the future could look like once it becomes mainstream.  Are we looking a smart seamless multimodal future?  Or are we looking at a future where car based transport will prevail?  In both futures, the current shape of public transport may change dramatically.

Discover the latest Intelligent Mobility insights and case studies from the TSC in our new publication which was released in conjunction with the Imagine Festival.

Our Imagine book explains why a shared vision of Intelligent Mobility is the key. It’s packed with information, sharing the latest developments about the LUTZ Pathfinder Project and the progress of Immense Simulations pioneering driverless fleet management system along with the latest on our Travellers Needs study and so much more.

Transport in 2030 will look very different than it does today. Intelligent Mobility will have a profound impact on the way we move people and goods around the globe. To create a people-centred, smart, sustainable and safe travel system, we need to prepare for the opportunity and challenge ahead.

This strategy represents our view of the global opportunities and highlights where the UK needs to focus in order to maximise the economic potential of Intelligent Mobility innovation and technologies. We hope that this document will help to foster a shared vision and direction for all organisations interested in Intelligent Mobility.

This study was designed to fill an identified existing gap in understanding what travellers value on their journeys, what pain-points they encounter and how they make decisions with regards to their travel options.

The research conducted in the study comprised of 10,000 online and 100 offline questionnaire respondents, 50 company interviews, and 100 expert interviews.

This study provides an understanding of the key challenges that the UK will need to overcome in order to  develop and accelerate valuable Intelligent Mobility opportunities.

This Update focuses on a world where journeys are seamless, transport is smart and connected, and delays and congestion are a thing of the past. When faced with the combined challenges of an ageing global population, rapidly increasing urbanisation and the corresponding strain on the environment, policy makers are more aware than ever that current approaches to transport will not be sufficient for our future needs. The IM Update will outline how we can solve and overcome our future transport needs.

This study has focussed on potential public sector interventions that could help to promote and realise the early benefits of Connected and Automated Vehicles (CAVs). The ultimate output of this work is a prioritised list of interventions which could be considered by the various public sector authorities.

The “Modelling for Intelligent Mobility” report was commissioned to specifically examine the new opportunities arising within the modelling sector as a result of the shift from “traditional” transport thinking towards “Intelligent Mobility”.

An Investigation into the data required to support and drive intelligent mobility and tackle the shortfall in skilled technical talent in the UK.

The Transport Systems Catapult has published the findings from four recent workshops aimed at creating a better experience for UK rail passengers.

A Brochure looking back at the TSC’s first year, exploring current and future projects and looking at the Intelligent Mobility Sector as a whole.

The UK is a world leader in utilising existing infrastructure and improving it with growing demand. By understanding user needs, this brochure looks to ways in which we can improve the use of the railway infrastructure.

It is clear that many stations across the rail network already suffer from varying degrees of passenger congestion and overcrowding. The Stations Innovation Brochure explores ways in which we can overcome congestion and overcrowding through innovation.

This project investigates abnormal driving situations, classifies them into a taxonomy and goes on to consider potential solutions for how to handle some of the more challenging automated driving scenarios.

The majority of the driving task is relatively routine, but occasionally situations demand the driver to take action which is out of the ordinary or requires the driver to make an interpretation of the situation and act in a considered manner (common sense driving). Such situations could present challenges to Automated Vehicles (AVs) and their developers. AVs will need to adhere to rules governing their behaviour. If the rules and regulations governing vehicle behaviour within abnormal situations are not clear, then this could lead to unexpected or undesirable behaviour amongst AVs. Indeed, AVs may behave differently to the same abnormal situation depending on the AV manufacturer and the software algorithms that have been deployed.

This award winning paper by TSC Technologist Carl Goves presents the results of applying an artificial neural network to estimate traffic conditions 15 minutes into the future on a section of motorway within the UK.