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Showing posts with the label Road Transport

14 - Seminar: Optimization of Traffic Signal Control using Machine Learning

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Hi crew, Are you alright? Today I want to talk with you one more time about Machine Learning (ML). In fact, last week I attended an interesting seminar about possible applications of these techniques. The seminar has been given by the TRL Academy, here in TRL, and for me, it was a good opportunity to introduce myself, my project, and to share ideas about possible optimization algorithms and techniques, for a topic which is completely new for road asset management. In my previous posts, I showed you how ML works, giving particular attention to Artificial Neural Networks and Random Forests . As I already mentioned, these techniques are used nowadays in a number of applications in Science, and actually, also lots of apps installed on our mobiles use similar methods to make our life easier. In fact, based on the ability of these techniques to recognize patterns in large datasets, weather forecasts, banks, social media, among many others, use ML to improve precision and reliabil...

06 – Microlise Transport Conference: The Future of Road Transport

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Hey crew! I hope you all are doing well and welcome back to my blog! Today I’d like to give you feedback about my experience at Microlise Transport Conference (just Conference in the following). It is a conference about road transport organized every year by Microlise Ltd and its sponsors in order to spread knowledge about the issues and solutions that nowadays affect the industry. No, I haven't presented any article and I hadn’t any presentation there. Come on crew, there were people like Her Royal Highness the Princess Royal presenting at the Conference – and I don’t know what about you but, at least for me, it was the first time in my life I saw a member of the Royal Family in person. Actually, it was the first time for my Supervisor too. However, the Conference was really good and it was basically the opportunity for me to deeply understand the issues nowadays faced by the road transport industry. Personally, I think that the most impressive thing I got f...