Results 31 to 40 of about 1,130,670 (289)

Travel Time Prediction for Traveler Information System in Heterogeneous Disordered Traffic Conditions Using GPS Trajectories

open access: yesSustainability, 2022
Precise travel time prediction allows travelers and system controllers to be aware of the future conditions on roadways and helps in pre-trip planning and traffic control strategy formulation to lessen the travel time and mitigate traffic congestion ...
Gurmesh Sihag, M. Parida, Praveen Kumar
semanticscholar   +1 more source

Trajectory analysis at intersections for traffic rule identification

open access: yesGeo-spatial Information Science, 2021
In this paper, we focus on trajectories at intersections regulated by various regulation types such as traffic lights, priority/yield signs, and right-of-way rules.
Chenxi Wang   +3 more
doaj   +1 more source

RING-Net: road inference from GPS trajectories using a deep segmentation network

open access: yesBigSpatial@SIGSPATIAL, 2022
Accurate and rich representation of roads in a map is critical for safe and efficient navigation experience. Often, open source road data is incomplete and manually adding roads is labor intensive and consequently expensive.
E. Eftelioglu   +4 more
semanticscholar   +1 more source

GeoSDVA: A Semi-Supervised Dirichlet Variational Autoencoder Model for Transportation Mode Identification

open access: yesISPRS International Journal of Geo-Information, 2022
Inferring the transportation modes of travelers is an essential part of intelligent transportation systems. With the development of mobile services, it is easy to effectively obtain massive location readings of travelers with GPS-enabled smart devices ...
Xiaoxi Zhang   +4 more
doaj   +1 more source

Recording fine‐scale movement of ground beetles by two methods: Potentials and methodological pitfalls

open access: yesEcology and Evolution, 2021
Movement trajectories are usually recorded as a sequence of discrete movement events described by two parameters: step length (distance) and turning angle (bearing). One of the most widespread methods to record the geocoordinates of each step is by a GPS
Jana Růžičková, Zoltán Elek
doaj   +1 more source

Trip Purpose Imputation Using GPS Trajectories with Machine Learning

open access: yesISPRS International Journal of Geo-Information, 2021
We studied trip purpose imputation using data mining and machine learning techniques based on a dataset of GPS-based trajectories gathered in Switzerland.
Qinggang Gao   +2 more
doaj   +1 more source

Automatic Generation of Road Maps from Low Quality GPS Trajectory Data via Structure Learning

open access: yesIEEE Access, 2018
Up-to-date road maps are critical for intelligent transportation applications, such as car navigation and route planning. Unfortunately, conventional road map generation through surveying and image digitizing is labor intensive and time consuming ...
Jincai Huang   +6 more
doaj   +1 more source

A Kalman Filter Implementation for Precision Improvement in Low-Cost GPS Positioning of Tractors

open access: yesSensors, 2013
Low-cost GPS receivers provide geodetic positioning information using the NMEA protocol, usually with eight digits for latitude and nine digits for longitude.
Francisco Javier Gomez-Gil   +3 more
doaj   +1 more source

TRAVEL TIME ESTIMATION USING SPATIO-TEMPORAL INDEX BASED ON CASSANDRA [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Travel time estimation plays an important role in traffic monitoring and route planning. Taxicabs equipped with Global Positioning System (GPS) devices have been frequently used to monitor the traffic state, and GPS trajectories of taxicabs also used to ...
Z. Wu   +5 more
doaj   +1 more source

Discovering Corridors From GPS Trajectories

open access: yesProceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017
The increasing pervasiveness of GPS-enabled devices results in the collection of massive trajectories datasets. The vast amount of the generated location data is particularly difficult to be processed, interpreted and analyzed, due to its complexity. Nevertheless, in many cases a considerable number of moving objects share common paths and their whole ...
Nikolaos Zygouras, Dimitrios Gunopulos
openaire   +2 more sources

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