Traffic prediction plays a crucial role in alleviating traffic congestion which represents a
critical problem globally, resulting in negative consequences such as lost hours of additional …

Big data from smartphone applications are enabling travel behavior studies at an
unprecedented scale. In this paper, we examine pedestrian route choice preferences in San …

The map-matching is an essential preprocessing step for most of the trajectory-based
applications. Although it has been an active topic for more than two decades and, driven by …

Background Although people and smartphones have become almost inseparable,
especially during travel, smartphones still represent a small fraction of a complex multi …

Vehicular map-matching aims to identify the position of a vehicle in a road-network. Different
map-matching applications make use of different formulations of the problem leading to …

The ability to collect large numbers of trajectory data through GPS-enabled devices have
enabled a myriad of very important applications that are widely used on a daily basis. This …

Map matching is a common preprocessing step for analysing vehicle trajectories. In the
theory community, the most popular approach for map matching is to compute a path on the …

Different types of roads in complex road networks may run side-by-side or across in 2D or
3D spaces, which causes mismatched segments using existing online map-matching …

Abstract The General Transit Feed Specification (GTFS) is a data format widely used to
share data about public transportation schedules and associated geographic information …

Maps services are ubiquitous in widely used applications including navigation systems, ride
sharing, and items/food delivery. Though there are plenty of efforts to support such services …