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Machine learning and artificial intelligence (ML/AI) are crucial in training autonomous vehicles (AVs) to understand and predict human driver behavior, mitigating errors. Univ.-Prof. Dr.-Ing. Lutz Eckstein from RWTH Aachen University discusses using deep neural networks, drone data, and roadside units to enhance AV perception. He emphasizes that AVs, with their constant vigilance and lack of distractions, have advantages over human drivers. European regulatory frameworks, requiring proof of safe AV behavior, contribute to safer deployment. Researchers aim to imbue AVs with a "seventh sense," mimicking experienced human drivers' decision-making capabilities to enhance safety.

How Machine Learning is Teaching Autonomous Vehicles To Factor in Driver Error

It’s a debate that has been raging for the best part of two decades – when will autonomous vehicles be a commonplace sight on our roads? In the year 2021 we asked that question to several experts in the field. Find the three most important developments summed up in this article.

Latest Developments Cooperative Connected and Automated Mobility

The typical Silicon Valley start-up approach to innovation is to move fast and break things, as the famous maxim from Facebook founder Mark Zuckerberg goes. But in the highly complex world of autonomous vehicles and other safety critical applications breaking a few things along the way to our end goal isn’t something that we can shrug off so easily.

Unlocking the Future of Autonomous Mobility

Intertraffic explores the impact ChatGPT has on the development of smart mobility including utilisations for autonomous driving, road safety, and city planning.

Uber reveals new ecomobility measures

The European Parking Association held its 20th International Congress and Exhibition in the City of Brussels in September of this year. This edition of the Congress addressed the role of parking in the future of the EU Green Deal. Transport has been identified as one of the key challenges and when we talk about any kind of transportation, parking can’t be far behind. The transport sector accounts for 25% of greenhouse gas emissions, and the EU will need to slash emissions by at least 90% by 2050, as compared to 1990. Achieving this goal is no easy feat, and an integrated approach in the mobility sector is the key to success.

The role of parking in the EU green deal

Intelligent connected and autonomous vehicles are, perhaps, the most immediately attractive element of the smart mobility evolution, but they won’t solve anything in isolation without equally intelligent road infrastructure in place to support the advanced technology. Intertraffic spoke to three infrastructure experts and asked them for their views on the current state of play and what is exciting them on a daily basis.

Certified intelligence

Sandra Witzel is Chief Marketing Officer and Board Director of MaaS platform provider SkedGo, co-founder of Women In Mobility UK, board member of the Mobility Council EU Tech Chamber and an advocate for Accessible, Inclusive & Sustainable Mobility.

How to facilitate mobility for disabled travellers - Part II

Transport technology moves at an incredible rate and if you look back at new technological developments that took you by surprise at previous Intertraffic shows it becomes clear that on a daily basis we’re using things that weren’t even at the prototype stage 10 years ago.

Five transport solutions we wouldn't have thought possible ten years ago

Connected vehicle data has uses way beyond collision avoidance and weather reports – it’s creating a dynamic picture of traffic flows that can be used to verify the effectiveness almost any kind of traffic management system.

Harnessing the power of connected vehicle data

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Autonomous driving

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