Search Results

Global positioning system (GPS) trajectories recorded by mobile phones or action cameras offer valuable insights into sustainable mobility, as they provide fine-scale spatial and temporal characteristics of individual travel. However, the high volume, ...

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 road network that is the most spatially similar to the trajectory, where ...

Retrieving similar trajectories aims to search for the trajectories that are close to a query trajectory in spatio-temporal domain from a large trajectory dataset. This is critical for a variety of applications, like transportation planning and mobility ...

The continuous enhancement of technologies and modern well-equipped infrastructures are necessary for easy life. Road accident and missing vehicle ratio are very challenging in preventing misshapenness because these are continually increasing due to ...

An important data source for traffic analysis is GPS trajectory data. However, due to measurement inaccuracies, such data does not necessarily align well with data describing the road network. Hence, GPS data typically needs to be aligned with the road ...

App-based ride-hailing services, such as Uber and Lyft, have become popular thanks to technology advancements including smartphones and 4G/5G network. However, little is known about to what degree their operations impact urban traffic since ...

OpenStreetMap (OSM) is a collaborative good quality crowd-sourced geospatial database (GDB). The quality of OSM is generally very good, it lacks good coverage in many parts of the world. A natural approach for extending its coverage is to conflate ...

Existing trajectory-clustering methods do not consider road-network connectivity, road directionality, and real path length while measuring the similarity between different road-network trajectories. This paper proposes a trajectory-clustering method ...

Cellular signaling data is a valuable and abundant data source to explore human mobility. Yet challenges remain to restore movement routes from signaling data due to its coarse positioning information. We propose an efficient map matching method based ...

Map matching has long been a fundamental yet challenging problem. However, there are currently only a few public small-scale map matching benchmark datasets. Both the GPS trajectories and the road network in the existing map matching datasets are ...

Map matching for cellular data is to transform a sequence of cell tower locations to a trajectory on a road map. It is an essential processing step for many applications, such as traffic optimization and human mobility analysis. However, most current map ...

Map matching is important in many trajectory based applications like route optimization and traffic schedule, etc. As the widely used methods, Hidden Markov Model and its variants are well studied to provide accurate and efficient map matching service. ...

We examine the problem of computing shortest paths in a transportation network from a set of geographically clustered source nodes to a set of target nodes. Such many-to-many shortest path computations are an essential and computationally expensive part ...

The paper proposes a method to detect the traffic abnormity based on clustering analysis of taxi GPS data. The traffic data used in this paper is obtained from traffic management bureau of Beijing. The data is cleaned based on several cleaning standards ...

Precisely estimation of moving object locations from position sensors promises useful implications for many fields of engineering. The mapping of a moving object on a predefined path is an important process for object tracking and remote control ...

As the increasing volumes of urban traffic data become available, more and more opportunities arise for the data-driven analysis that can lead to the improvements of traffic conditions. In this paper, we focus on a particularly important type of urban ...

We present a novel algorithm to match GPS trajectories onto maps offline (in batch mode) using techniques borrowed from the field of force-directed graph drawing. We consider a simulated physical system where each GPS trajectory is attracted or repelled ...

With the widespread installation of location-enabled devices on public transportation, public vehicles are generating massive amounts of trajectory data in real time. However, using these trajectory data for meaningful analysis requires careful ...

This paper presents a new trajectory search engine called Torch for querying road network trajectory data. Torch is able to efficiently process two types of typical queries (similarity search and Boolean search), and support a wide variety of trajectory ...

We consider several variants of the map-matching problem, which seeks to find a path Q in graph G that has the smallest distance to a given trajectory P (which is likely not to be exactly on the graph). In a typical application setting, P models a noisy ...