A simple baseline for travel time estimation using large|scale trip data

KDD 2018 | Learning to Estimate the Travel Time

This paper presents a novel machine learning solution to predict the vehicle travel time based on floating-car data.

Path Travel Time Estimation using Attribute-related Hybrid ...

A simple baseline for travel time estimation using large-scale trip data. ACM Transactions on Intelligent Systems and Technology (TIST) 10 ...

Learning Heterogeneous Traffic Patterns for Travel Time Prediction ...

... journey time prediction because, the travel time of bus journey ... A simple baseline. 720 for travel time estimation using large-scale trip data.

A Survey of Traffic Prediction: from Spatio-Temporal Data to ...

Hence, it is significant to predict traffic flows in future time. Moreover, traffic flow can be divided into two types: network-based and region ...

Probabilistic Prediction of Trip Travel Time and Its Variability Using ...

Specifically, a Bayesian regression model with varying coefficients was fitted to capture the effect of temporal variations of traffic ...

SSML: Self-Supervised Meta-Learner for En Route Travel Time ...

the travel time in accordance with a given route and departure time, which ... A Simple Baseline for Travel Time Estimation Using Large-scale Trip Data.

A COMPARATIVE STUDY OF METHODS FOR DRIVE TIME ...

With the development of large-scale open source data such as ... A. Simple Baseline for Travel Time Estimation using Large-scale. Trip Data.

Travel Time Reliability: Making It There On Time, All The Time

Now that route/trip travel times have been calculated for the days and time periods of interest, we can use some basic equations for calculating ...

Travel Time Prediction and Explanation - TUE Research portal

... data is by subtracting delivery time by travel start time ... “A simple baseline for travel time estimation using large- scale trip data”.

Enhancing Expressiveness of Models for Static Route-Free ...

... estimation cannot be backed up by historical data. (2) A data ... A Simple Baseline for Travel Time Estimation using Large-Scale. Trip ...

Machine Learning Approaches on a Travel Time Prediction Problem

A simple baseline for travel time estimation using large-scale trip data. In Proceedings of the 24th ACM SIGSPA-. TIAL International ...

Benchmarking Travel Time and Demand Prediction Methods Using ...

(2006) estimate bus arrival times with bus movement data from Dalian, China. A SVR model with three-variable representing the route, current ...

DeepIST: Deep Image-based Spatio-Temporal Network for Travel ...

A simple baseline for travel time estimation using large-scale trip data. In Proceedings of the. ACM SIGSPATIAL International Conference on Advances in ...

Travel Time Prediction for Traveler Information System in ... - MDPI

First, a historical trajectory database is built using the steps that are explained in the pre-processing data section to develop travel time ...

A Case Study With Arterial Traffic Estimation - People @EECS

: LARGE-SCALE ESTIMATION IN CYBERPHYSICAL SYSTEMS USING STREAMING DATA ... time prediction using probe-car data,” International J., 2004.

Accurate Estimation of Indoor Travel Times – Learned Unsupervised ...

Real-time trip information service for a large taxi fleet. In Proc ... Using Large Scale Taxi GPS Traces. pages 57–72, 2012. [5] H. Du, P. Henry, X ...

Multitask Learning with Graph Neural Network for Travel Time ...

Travel time estimation (TTE) is a classic yet challenging problem using trajectory data. In urban cities, it plays a key role in route ...

Estimating Travel Time Distributions by Bayesian Network Inference

Each vehicle records this data with a certain sampling interval. Due to the large size of the network (several thousand links) and large sampling intervals (60 ...

Estimating Path Travel Costs in Large-Scale Networks Using ...

The integration of activity-based models (ABMs) with simulation-based dynamic traffic assignment (DTA) is proposed as a prominent ...

Computer vision for transit travel time prediction: an end-to-end ...

We propose and evaluate an end-to-end framework integrating traditional transit data sources with a roadside camera for automated image data ...