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 public transport network


gtfs2vec -- Learning GTFS Embeddings for comparing Public Transport Offer in Microregions

Gramacki, Piotr, Woźniak, Szymon, Szymański, Piotr

arXiv.org Artificial Intelligence

We selected 48 European cities and gathered their public transport timetables in the GTFS format. We utilized Uber's H3 spatial index to divide each city into hexagonal micro-regions. Based on the timetables data we created certain features describing the quantity and variety of public transport availability in each region. Next, we trained an auto-associative deep neural network to embed each of the regions. Having such prepared representations, we then used a hierarchical clustering approach to identify similar regions. To do so, we utilized an agglomerative clustering algorithm with a euclidean distance between regions and Ward's method to minimize in-cluster variance. Finally, we analyzed the obtained clusters at different levels to identify some number of clusters that qualitatively describe public transport availability. We showed that our typology matches the characteristics of analyzed cities and allows succesful searching for areas with similar public transport schedule characteristics.


Lyon gets an autonomous shuttle service via two Navya vehicles - Sustainable Bus

#artificialintelligence

Lyon gets a new autonomous shuttle service. Operated via Navya electric driverless vehicles in cooperation with Sytral and Keolis, the open-road experiment will be fully integrated within Lyon's public transport network. Another pilot involving a shuttle supplied by the French company is taking place in Merano (Italy) where for one week the vehicle will be running on a short route closed to car traffic. Recently, a demonstration on standard-lenght autonomous bus has been held in Gothenburg thanks to a cooperation between Volvo Buses and Keolis. The new autonomous bus pilot has been launched on Friday 22th November and see Navya as a provider of two autonomous shuttles.


Public transport networks may soon include air taxis

#artificialintelligence

Volocopter has presented an air taxi infrastructure idea which integrates air taxis into existing transportation systems. The concept would provide additional mobility for up to 10,000 passengers per day with a single point to point connection. Alex Zosel, Volocopter co-Founder, expects the first full Volocopter air taxi system, with dozens of Volo-Hubs and Volo-Ports, to be in place within the next 10 years, capable of flying 100,000 passengers an hour. Volocopters are emission-free and electrically powered aircrafts which take off and land vertically; offering a high degree of safety. Based on drone technology, they have been scaled to carry two people, initially for distances of 27km.

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