business intelligence applications in transportation

The three-phased effort will create large-scale, replicable deployments that generate increased mobility options across multiple modes of transportation to address the challenges of planning and executing complete trips.” 5 The projects will enable communities to showcase innovative business partnerships, technologies, and practices that promote independent mobility for all.

Focus on the “Complete Trip.” The US Department of Transportation (USDOT) “awarded over $38 million to five awardees through its Complete Trip – ITS4US Deployment Program.

I address this more in my 2021 predictions later in the article. While a Union Internationale des Transports Publics (UITP) Artificial Intelligence (AI) in Mass Public Transport study identified existing and promising applications of AI in 2018, in 2020, new applications of AI have been used to provide flexibility in critical public transport activities that typically take a long time to perform, such as fixed-route scheduling, while considering COVID-19 implications such as social distancing and vehicle cleanliness.

More use of artificial intelligence (AI) and deep learning in public transport.

Furthermore, in the US, AVs are an integral part of Jacksonville Transportation Authority’s (JTA’s) Ultimate Urban Circulator Program (U 2C) to greatly improve mobility in and around Jacksonville. In 2020, the Future Automated Bus Urban Level Operation System (FABULOS) project demonstrated actual public transport operations using AVs in regular traffic in a variety of locations in Europe.

Automated vehicles (AVs) will actually be put into public transport service.

In 2020, Ghent, Belgium, realised Traffic Management as a Service (TMaaS), which was developed as part of the Urban Innovative Actions (UIA) Initiative of the European Union.

Mobility as a Service (MaaS) deployments incorporating traffic data.

1 in 2020, the 15-minute city was touted by several cities as a way in “which daily urban necessities are within a 15-minute reach on foot or by bike.” 2 While Singapore defined their travel time goals in 2019 as part of their Land Transport Master Plan 2040.

More travel time goals in major urban areas as a result of transportation planning efforts.Let’s do a quick re-cap of my 2020 predictions ( as well as the revisions made as a result of the COVID-19 pandemic) see and see whether or not they were realised. So here are my predictions for 2021 as I consider innovations that are here for the longer term, beyond the pandemic, and the issues associated with those innovations, such as how equity can be achieved with technology-enabled mobility.

There seems to be a plethora of articles that cover mobility trends and predictions for 2021, and I imagine that you have already read several of those.

Business intelligence applications in transportation