Towards spatiotemporal integration of bus transit with data-driven approaches

Journal of Internet Services and Applications, Journal Year: 2024, Volume and Issue: 15(1), P. 59 - 71

Published: June 5, 2024

This study aims to propose an approach for spatiotemporal integration of bus transit, which enables users change lines by paying a single fare. could increase transit efficiency and, consequently, help make this mode transportation more attractive. Usually, strategy is allowed few hours in non-restricted area; thus, certain walking distance areas behave like "virtual terminals". For that, two data-driven algorithms are proposed work. First, new algorithm detecting itineraries based on GPS data and the stop location. The algorithm's results show that 90% database detected valid excluding invalid markings adding times at missing stops through temporal interpolation. Second, proposes clustering define suitable these virtual terminals where it would be possible transfers outside physical terminals. Using real-world origin-destination trips, network, including clusters, can reduce traveled distances up 50%, expense making twice as many connections average.

Language: Английский

Predicting Highway Accident Severity in Brazil: Environmental Factors and Vehicle Features

Published: April 29, 2024

Language: Английский