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Third Industrial Revolution Consulting Group<br />

3.4 Public Policy<br />

3.4.1 Dedicated taskforce for AV’s transition<br />

Consideration should be given to the establishment of a dedicated taskforce to expedite the AV<br />

transition for Luxembourg.<br />

The creation of a cluster for autonomous transportation will prepare the Grand Duchy for the<br />

advent of autonomous driverless vehicles. The dedicated taskforce “smart mobility,” gathering<br />

public and private stakeholders (MEC, MDDI, R&D, LuxInnovation, Cluster for Logistics), will<br />

address various aspects of automation (cf. Smart economy pillar). In this context, the future<br />

Luxembourg Automotive Campus is a strong asset and will house research and innovation<br />

activities of several companies within the automotive sector.<br />

The taskforce should focus on the following areas:<br />

- Attract companies for testing of connected and automated driving technologies in crossborder<br />

corridors<br />

- Conduct pilot studies on dedicated sites (e.g. Belval Automotive Campus)<br />

- Explore regional truck platooning projects and drone technologies opportunities<br />

- Cooperate with other countries (i.e. BeNeLux) on larger proof of concept<br />

- Study the ethical issues around the automation of transport, including privacy, data<br />

security, open access, etc.<br />

3.4.2 Implement a pilot test<br />

The uptake of autonomous vehicles will require some transition time. The city authorities are<br />

key stakeholders in the transition to automated vehicles. Initially, a negotiation will be<br />

necessary to implement potential restrictions to normal traffic in order to set up experimental<br />

projects for automated vehicles on specific corridors.<br />

3.4.3 Implement robust resiliency standards.<br />

A robust resiliency monitoring program able to track traffic conditions for passengers and goods<br />

flows, the capacity of the infrastructure, and energy demands that can be used as a database to<br />

model prediction scenarios for massive disruptions to the system brought on by catastrophic<br />

climate change events and or cyber-crime and cyberterrorism should be provided.<br />

Vulnerability assessments should be performed based on the traffic models to predict the<br />

effects of system components failures (infrastructures, energy supply, communications), taking<br />

into consideration the interdependencies between the various critical infrastructures and<br />

components. In the short-term, mid-term, and long-term transport plans should be updated<br />

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