Travel Time Estimation Using Sparsely Sampled Probe GPS Data in ...

Day-to-Day Travel Time Trends and Travel Time Prediction from ...

To this end, we study a travel time prediction methodology using flow and occupancy data from single ... data and probe vehicle travel times. In practice ...

Urban link travel time estimation based on sparse probe vehicle data

Results showed that artificial neural network with the best performance measure (least mean square errors) can be used to estimate the average speed of vehicles ...

Spatiotemporal K-Nearest Neighbors Algorithm and Bayesian ...

Travel time distribution (TTD) estimation on urban arterial links with sparse trajectory data is a practically important while substantially ...

Estimating arterial traffic conditions using sparse probe data

The initial re- sults indicate that travel time distributions can be accurately estimated using only sparse GPS data. 2. Traffic modeling framework. We present ...

A Synthesis of Passive Third-Party Data Sets Used for ... - ROSA P

Real-time estimations of travel time can be obtained with GPS data. Tao et ... Estimation with A-GPS Mobile Phones as Probes. Journal of Transportation ...

Effective Travel Time Estimation: When Historical Trajectories over ...

Specifically, we aligned the GPS points in OD inputs and trajectories with road networks via a map-matching tool Valhalla [7]. Table 2 shows the statistics of ...

VTrack: Accurate, Energy-aware Road Traffic Delay Estimation ...

This paper presents VTrack, a system for travel time estimation using this sensor data that addresses ... using WiFi, using sparsely sampled GPS, and hybrid ...

Queue Profile Estimation in Congested Urban Networks with Probe ...

Abstract: Queues at signalized intersections are the main cause of traffic delays and travel time variability in urban networks. In this article, we propose ...

A data-driven travel mode share estimation framework based on ...

The GPS data in general has the highest spatial accuracy (e.g., 10 m) and the lowest LRI (usually 1 s), but it usually covers only a small ...

Estimation of flow and density using probe vehicles with spacing ...

by using GPS-equipped probe vehicle data and a boundary fixed detector. ... Application of probe-vehicle data for real-time traffic-state estimation and short- ...

Arterial travel time estimation method using SCATS traffic data ...

Second, the K-nearest neighbor method was used to search the K similarity patterns matching the current traffic pattern and obtain K travel time ...

Platform for Trajectory Reconstruction Using Sparsely Sampled GPS ...

“Comparison of Two Novel Travel Time Estimation. Techniques Based on Probe Vehicle Data: Kriging versus Non-linear Programming Based.

Area-based mean speed estimation focusing on loop and ... - TRC-30

The probe data includes 15,967 individual GPS trajectories, each tagged with a track. ID, GPS coordinates, and timestamps. Meanwhile, the ...

Statistical Modelling and Analysis of Sparse Bus Probe Data in ...

time arrival time estimates, but these data are sparse. Our ... systems which use GPS to collect probe data [6]. Shalaby and Farhan ...

Travel Time Estimation Using Sparsely Sampled Probe GPS Data in ...

Travel Time Estimation Using Sparsely Sampled Probe GPS Data in Urban Road Networks Context · Map-matching · Problème du plus court chemin ...

Using GPS Probe Speed Data to Estimate the Attribution of ...

As previously stated, vehicle travel speeds estimated using GPS probe data are typically lower than estimates captured using other site ...

Computing travel times from filtered traffic states - Illinois Experts

We illustrate that dynamic travel time estimates can be computed with less than 10% error regardless of the data source, and that existing inductive loop ...

Mapping the ionosphere with millions of phones - Nature

Global Positioning System (GPS) and other GNSS receivers estimate distances to satellites by measuring the time for a radio signal to travel ...

Available CRAN Packages By Name

Activity Index Calculation using Raw 'Accelerometry' Data. activPAL, Advanced ... afthd, Accelerated Failure Time for High Dimensional Data with MCMC.

Genomic epidemiology of early SARS-CoV-2 transmission dynamics ...

Using viral genomic data allows for epidemiological ... samples would be evenly distributed through time, then continent, then country.