Public Funding for Manageplaces Limited

This project will address the need to assist rail customers with their onward journey by having suggestions provided to them, in a personalised and relevant way in advance to their arrival at the destination station. Rail customers are aware that there are a range of transport options available to them once arriving at the station, but assessing and deciding on the most relevant, based on price, timing and personal preferences, can be challenging. The Onward Journey Planner Assistant will test a software prototype, based on existing technologies, in a realistic, simulated environment to develop a new technology using existing and live data and existing processes in rail. The industrial research will explore how different components of existing rail systems and the prototype software can interact to develop the current systems to improve customer experience through the provision of personalised onward journey options. The outcome of the research is to evaluate how the technology can be scaled-up and be commercially exploited.

Commuter Guardian will enable enhanced features for transport focused apps with the potential to improve the commuter journey experience from planning to completion. Commuter Guardian presents optimal multi modal information for A - B journeys, considering the user's personal travel preferences. Using this information Commuter Guardian may then provide personalised incentives to encourage users to change their travel habits and reduce the load on already congested routes. In addition to this, Travel Guardian features will directly generate valuable context-rich, real time crowding and qualitative data which will be available through an API. This project addresses Phase 1 of the competition brief in delivering a study that will evaluate the business case of Commuter Guardian technology in a real-world scenario. The solution has been created through the incorporation of existing technologies: Travel Guardian and Commuterhive. We seek to implement Commuter Guardian in an environment as a first-of-a-kind deployment that mainly addresses the connected transport and urban living themes.

When you board a train today it is noticeable that travellers are occupied with their connected devices in some way. What if their interaction included instant, useful and personalised travel information about their journey, whilst helping the travel operator to gain valuable personalised feedback data at the same time? In this project a unique platform will be designed, created and tested that helps a user to customise their travel experience based on large-scale data analysis of real-time information from data feeds, end user community contribution, transport systems and sensors.