The next LEVITATE webinar will provide insights on the potential impacts of introducing policy measures related to on-street parking repurposing (driving or cycle lane, public space or pick-up/drop off), road-user pricing and dedicated CAV lanes. These policy interventions have been assessed using realistic traffic models (Manchester and Leicester) in terms of their impacts on traffic (delay and travel time), the environment (CO2, NOx and PM) and road safety. A variety of traffic assessment methods have been used including micro and mesoscopic simulation, systems dynamics and Delphi.
Join us on Monday 11 October and listen to researchers from Loughborough University and the Austrian Institute of Technology and be part of the discussions!
LEVITATE webinar: Policy interventions
11 October, 14:00-15:30 CET
Register here »
Connected and automated transport systems (CATS) are expected to be introduced in increasing numbers over the next decades. Moreover, they are expected to have considerable impacts on mobility, safety, the environment and society as a whole. One of the aims of LEVITATE is to forecast these impacts. This article collects the impact of CATS on road safety which has been briefly presented during the last webinar of LEVITATE, as well. Moreover, the article written by Wendy Weijermars (SWOV), Andreas Hula (AIT), Amna Chaudhry (LOUGH), Sasa Sha (LOUGH), Rins de Zwart (SWOV), Celina Mons (SWOV) and Hitesh Boghani (LOUGH) further presents the specific impacts on road safety for the individual sub-use cases and communicates how these expected impacts can be quantified. Conclusions suggest that in normal circumstances, CAVs are expected to have a lower crash rate than human driven vehicles; CAVs make less errors than human drivers, are assumed to respect all traffic rules and are expected to have lower reaction times and less variability in driving behaviour.
The present article focusses on the application of an agent-based mobility simulation model for the city of Vienna which utilizes activity chain descriptions of the simulated agent’s daily objectives. This is done in the context of the goals of project LEVITATE.
It entails a brief description of the model method, the specific features of the model, the expectable and intended output of the model, its general assumptions as well as detailsmon two specific areas of interest within the project objectives, namely automated urban transport and road use pricing.
The EU-funded WE-TRANSFORM project aims to address both gaps by leveraging stakeholders’ knowledge and experiences to co-create an action-oriented agenda, targeting EU and non-EU administrations, and to prepare well the automation transition and transformation of the workforce in the transport sector. This workshop will launch this process as the first Stakeholder Forum event to involve the community in the project activities, to inform about its objectives and how to become actively engaged in the long run.
The purpose of this workshop is to collect additional input on the State-of-the-Art (i.e. reports, scientific articles, etc.) from similar activities related to impacts of automation and digitalisation for all modes of transport (both passenger and freight), but also other automation-driven sectors, to find out their best practices and understand if they are transferable to WE-TRANSFORM focus.
We wish to gather in this dialogue all actors and interested stakeholders including research, industrial and social partners, relevant networks and associations, employers’ and workers’ representatives, across all transport modes and countries.
On 27 May, the 4th LEVITATE webinar took place with more than 80 participants to share the project’s research results about the impact of automated vehicles on road safety.
The interactive webinar was introduced by Andrew Morris (Loughborough University) who shared general information about Levitate with the audience. The webinar was moderated by Wendy Weijermars (SWOV) while Rins de Zwart (SWOV), Amna Chaudry (Loughborough University) and Andreas Hula (AIT) shared their research results on road safety impacts of connected and automated vehicles (CATS). Based on a poll launched during the webinar, most participants expect a considerable improvement in road safety with the introduction of CATS, but they do not expect that all serious crashes can be prevented. LEVITATE’s two-steps approach in the estimation of impacts determines that which ways the road safety is impacted by the development of CATS, and as a second step, the project tries to quantify these impacts as far as possible with the help of literature review and conducting interviews with stakeholders. The audience was proactive and asked several questions to the panelists which has been answered live or written during the event.
Curious about the presented impacts on road safety and the outcomes of the discussion? Watch the recorded webinar here:
The Delphi method is a process used to arrive at a collective, aggregate group opinion or decision by surveying a panel of experts. This concept was developed by the RAND Corporation for the military in order to forecast the effects of new military technology on the future of warfare, and then continued to make multiple practical applications of this method (Dalkey & Helmer, 1963). The Delphi methodology is based on a repetitive interview process in which the respondent can review his or her initial answers and thus change the overall information on each topic (Hsu & Sandford, 2007). This presupposes that the participants will be willing to not only give answers on the topics but also to repeat the interview in possibly more than two cycles.
Within LEVITATE, the Delphi method is used to determine all impacts that cannot be defined by the other quantitative methods (traffic microsimulation/system dynamics). Initially, a long list of experts were identified for each use case, and contacted via an introductory mail asking them to express the willingness of participation. Those who responded positively (70 experts) participated in the main Delphi process.
The 3rd annual meeting of the Robomobile Life initiative will take place on 19 and 20 May to explore the role that local authorities (cities, regions) can play in steering the emergence and evolution of automated mobility. LEVITATE will contribute to this workshop along with the Polis secretariat.
Initiated by the French Ministry for Ecological Transition in 2017, the “robomobile life” series of foresight workshops aims to foster thinking, exploration, questioning, reflection and debate on all subjects and matters related to robomobility. The workshops seek to create a better understanding of the key issues and long-term choices that decision-makers from both the public and private sectors may have to deal with in the coming years and decades, here in France and abroad.
The decade 2021-2030 could see the deployment of the first transport services provided by automated vehicles. This implementation will be gradual, targeted and regulated and should be driven by genuine use cases that meet mobility needs that are poorly or insufficiently covered by the existing offer. These first stages of putting transport automation into service in real conditions will be decisive.
To what extent can a city choose the robomobile model that suits it best?
What influence will local/regional government stakeholders have on the different socio-technical models associated with automation?
What will be the the rules of the game and who will set them?
This third annual meeting aims to provide reflection on these questions. This event has been designed to give participants the possibility to compose their own tailor-made programme. The sessions are independent of each other. An English-speaking track is open to all international attendants and all plenaries will be translated from French to English.
Deliverable D3.3 of LEVITATE deals with converting impacts of connected and automated vehicles to monetary terms. Converting impacts to monetary terms is needed to include them in cost-benefit analyses.
One of the objectives of LEVITATE is to develop a tool for performing cost-benefit analyses of policies designed to maximise the societal benefits of introducing connected and automated vehicles. This tool will be part of the Policy Support Tool developed by LEVITATE. Can everything be converted into monetary terms when it comes to the impact of automated vehicles?
Connected and automated transport systems (CATS) are expected to be introduced in increasing numbers over the next decades. Moreover, they are expected to have considerable impacts on mobility, safety, the environment and society as a whole. The Horizon 2020 project LEVITATE aims to forecast these impacts.
One of the impacts of CATS that is considered in LEVITATE is road safety, which is high on the agenda when it comes to mobility planning and management. First of all, it is identified in which ways road safety is affected by increasing penetration levels of Connected and Automated Vehicles (CAVs) and policy interventions related to CATS. Second, it is discussed what is known from the literature concerning road safety impacts of CATS and finally, road safety impacts are quantified as far as possible by combining various approaches.
During this webinar between 14:00-15:30 CEST, 27 May, we would like to discuss with you which road safety impacts can be expected from CATS and how the different types of impacts are quantified within LEVITATE. Several partners will present their findings including Loughborough University, SWOV – Institute for Road Safety Research and the Austrian Institute of Technology.
Welcome and introduction – Andrew Morris & Wendy Weijermars
Road safety impacts of CATS that can be expected – Rins de Zwart
Questions and feedback – Moderator, Wendy Weijermars
Quantification of impacts within Levitate:
Approach: Rins de Zwart
Estimation of impacts using microsimulation – Amna Chaudhry
Estimation of impacts on Vulnerable Road Users – Andreas Hula
Closing remarks – Wendy Weijermars
Questions and feedback concerning the quantification and closing remarks – Moderator, Wendy Weijermars
Could the introduction of Automated Vehicles (CAVs) be one of the solutions to increase road safety?
Join us to find the answers! Register here »
The impact of connected and automated transport systems (CATS) in several areas also has strong implications on a very central question of urban development: Given a certain vision based on a set of quantified policy goals for a city or a region, which supporting role take recommended policy interventions related to CATS to achieve that vision? This article provides a short overview of the backcasting approach applied in LEVITATE that addresses this question.
From a cities’ perspective the advent of connected and automated vehicles (CAVs) is not a strategic goal by itself. Rather, they are welcome if they are able to contribute to the defined smart city goals and have to support a livable city. Improvements in road safety or reductions in the demand for public parking space are promising candidates for such supported goals, with quantitative investigation of impacts currently ongoing in the project. But there are some other impact areas where an increasing market penetration of CAVs (without specific regulations) might be in conflict with the strategic goals of a city: empty AVs avoiding parking fees might increase congestion; the attractiveness of AVs might lead to adverse changes in modal split; acceptance of longer driving distances (due to increased comfort and use of travel time for working) might further increase road traffic and promote urban sprawl. It is therefore essential for cities to integrate the full spectrum of related policy interventions into their considerations to prepare for the era of CATS – right from the start. Some positive impacts might be reinforced and accelerated by the appropriate policies, other desired impacts might occur only if a specific combination of policy interventions is applied – with the appropriate timing – and finally, some unwanted negative impacts might be mitigated by corresponding interventions. These causal relationships, however, are not always as simple and intuitive as it might appear at first sight. A lot of interdependencies – as in every complex system extending over different domains – makes it a necessity to apply a formal approach and consider a set of different methodologies that can support cities in their strategic decisions.
Defining a desirable vision in a quantitative way is the essential starting point for the backcasting process. From that vision the idea is to work backwards, via influencing factors (that are impacting the goals and indicators of the vision), to policy interventions which address these factors and thereby contribute towards the vision. Generating this series of logical links is a central part of the process, as it highlights feasible paths of interventions, steering into the desired direction. The steps in this process are explained in more detail and exemplified for the City of Vienna in the following article by the Austrian Institute of Technology.