Motion Hub, the implementation of an integrated end-to-end journey planner

© AET 2018 and contributorsThe term “eMobility” and been brought into use partly to encourage use of electric vehicles but more especially to focus on the transformation from electric vehicles as products to electrified personal transport as a service. Under the wider umbrella of Mobility-as-a-Service (MaaS) this has accompanied the growth of car clubs in general. The Motion Hub project has taken this concept a step further to include not just the car journey but the end-to-end journey. The booking of multifaceted journeys is well established in the leisure and business travel industries, where flights, car hire and hotels are regularly booked with a single transaction on a website. To complete an end-to-end scenario Motion Hub provides integration of public transport with electric vehicle and electric bike use. Building on a previous InnovateUK funded project that reviewed the feasibility of an integrated journey management system, the Motion Hub project has brought together a Car Club, a University, and EV infrastructure company, a bicycle hire company with electric bicycle capabilities and a municipality to implement a scheme and test it on the ground. At the heart of the project has been the development of a website that integrates the public transport booking with the hire of electric vehicles or bicycles. Taking the implementation to a fully working system accessible to members of the public presents a number of significant challenges. This paper identifies those challenges, details the progress and success of the Motion Hub and sets out the lessons learnt about end-to-end travel. The project was fortunate to have as its municipal partner the Council of a sizeable South East England town, Southend-on-Sea. With a population of 174,800 residents with good road, rail and air links there is considerable traffic in and out of the town. The Council has already shown its commitment to sustainable transport. In the previous six years it had installed a number of electric vehicle charging points for use by the public and latterly had trialled car club activity. An early challenge in the project was the location of physical infrastructure in an already crowded municipal space in order to provide the local ‘spokes’ of the system. In addition to its existing charging points, Southend now has four locations where electric cars can be hired, five where electric bikes are available and the local resources to maintain these assets. Combining a number of web-based services and amalgamating their financial transactions is relatively straightforward. However, introducing the potential for public transport ticketing as well raises additional security, scale and financial constraints. The project has engaged with major players and regulators across the public transport industry.Peer reviewe

EV integration in smart grids through interoperability solutions

The high total cost of ownership and the uncertainties surrounding battery reliability are still the main barriers for electric vehicle (EV) market take off in Europe. Storage evolution, leading to both price reduction and performance improvement, is a huge technical challenge in the medium-long term. In the meantime, new business models and market niche developments might play a facilitator role for EV deployment by tackling the economic gap between conventional ICE and electromobility (e-mobility) solutions. Based on the analysis of the state of the art, this paper considers new business model aspects, but with an especial focus on smart grid integration and interoperability. Available solutions for electro-mobility are sketched out and presented according to the Smart Grid Architecture Model (SGAM), giving hints on regulation, business, services, components and communication and information. The smart grid integration of EVs is highly dependent on the interoperability of e-mobility solutions with electric network management procedures. In addition, it is expected that the interoperability between different e-mobility developments results in lower prices and extended services availability for final users. This makes this subject to be of great importance at international level. To achieve this, it is necessary to be able to assess interoperability, not only at the level of physical systems but at all domains, including stakeholder interactions in the frame of a broad diversity of services, business models and regulatory schemes. COTEVOS project aim is to help tackle this challenge.EC FP

A Framework for Integrating Transportation Into Smart Cities

In recent years, economic, environmental, and political forces have quickly given rise to “Smart Cities” -- an array of strategies that can transform transportation in cities. Using a multi-method approach to research and develop a framework for smart cities, this study provides a framework that can be employed to: Understand what a smart city is and how to replicate smart city successes; The role of pilot projects, metrics, and evaluations to test, implement, and replicate strategies; and Understand the role of shared micromobility, big data, and other key issues impacting communities. This research provides recommendations for policy and professional practice as it relates to integrating transportation into smart cities

Assessing the Barriers to Equity in Smart Mobility Systems: A Case Study of Portland, Oregon

There is an active debate about the potential costs and benefits of emerging “smart mobility” systems, especially in how they will serve communities already facing transportation challenges. This paper describes the results of an assessment of these equity issues in the context of lower-income areas of Portland, Oregon, based on a mixture of quantitative and qualitative research. The study found that by lowering costs and improving service for public transit, ridesharing and active transportation, smart mobility systems could address many of the needs of transportation disadvantaged communities. Similar to those found in other case studies, significant barriers prevent smart mobility technologies from benefiting all communities. For example, lower income survey respondents and respondents of color had significantly lower access to the “smart mobility ecosystem” including bank accounts and credit cards, they rely more heavily on paying cash for transit tickets, had lower access to internet at home and work, and were more likely to reduce data use or cancel cell plans because of cost or data restrictions. Respondents were also concerned about information security, as the impacts of loss or theft, especially identity theft can be devastating for lower-income residents. Since integrating payment systems and relying on internet and cell data for mobile applications is a core feature of smart mobility ecosystem, these disparities are significant barriers to the equitable transition to smart mobility. Policy recommendations to address barriers include expanding free and public WiFi, better real-time transit information, improved training, and language translation for phone applications, among other things

Artificial Intelligence-based Cybersecurity for Connected and Automated Vehicles

The damaging effects of cyberattacks to an industry like the Cooperative Connected and Automated Mobility (CCAM) can be tremendous. From the least important to the worst ones, one can mention for example the damage in the reputation of vehicle manufacturers, the increased denial of customers to adopt CCAM, the loss of working hours (having direct impact on the European GDP), material damages, increased environmental pollution due e.g., to traffic jams or malicious modifications in sensors’ firmware, and ultimately, the great danger for human lives, either they are drivers, passengers or pedestrians. Connected vehicles will soon become a reality on our roads, bringing along new services and capabilities, but also technical challenges and security threats. To overcome these risks, the CARAMEL project has developed several anti-hacking solutions for the new generation of vehicles. CARAMEL (Artificial Intelligence-based Cybersecurity for Connected and Automated Vehicles), a research project co-funded by the European Union under the Horizon 2020 framework programme, is a project consortium with 15 organizations from 8 European countries together with 3 Korean partners. The project applies a proactive approach based on Artificial Intelligence and Machine Learning techniques to detect and prevent potential cybersecurity threats to autonomous and connected vehicles. This approach has been addressed based on four fundamental pillars, namely: Autonomous Mobility, Connected Mobility, Electromobility, and Remote Control Vehicle. This book presents theory and results from each of these technical directions