Train delays are among the most complained events by the public communities in urban cities. Train delay prediction is critical for advanced traveler information systems (ATIS), which provides valuable information for enhancing the efficiency and effectiveness of intelligent transportation systems (ITS). However, the train delay prediction problem cannot be easily solved by modeling historical/static data from a single data source. A large amount of data is collected from sensor devices across the cyber-physical networks in the big data era. Multimodal transport management systems offer greater availability of various open data sources, such as General Transit Feed Specification (GTFS) static and real-time feeds. With the development of advanced machine learning techniques, a growing number of open data sources are playing more and more critical roles in planning and operation of transportation services. Recently, very few existing ‘big data’ methods meet the specific needs in rail
The Brief: An app for finding busses and early voting info progress-index.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from progress-index.com Daily Mail and Mail on Sunday newspapers.
Micromobility services Bird and Ford-owned Spin are the latest to integrate with Google Maps for Mobile (GMM). People using Google Maps for efficient and reliable journey planning are now able to discover Spin e-scooters and e-bikes and Bird scooters when given route options for their journeys. Google Maps users are.
To revist this article, visit My Profile, then View saved stories.
As a core member of Gen X, I’m usually content to sit and watch boomers and millennials lob rhetorical bombs at one another. I and my cohort quietly plug away as an underrated influence on society, and especially the modern tech industry; despite our occasional complaints about being forgotten, many of us relish operating out of the cultural limelight. But recently I’ve come to recognize some of my generation’s worst pathologies in the extractive, divisive models promoted by Silicon Valley’s venture capital class. Which makes sense: So many of them are Gen X, especially Gen X men.