Jun 18, 2016 · The paper presents a method of travel time estimation by neural nets based on traffic data collected by cameras of the Intelligent ...

The problem of travel time estimation by neural nets based on traffic data is considered in the paper. After a successful preliminary research on using ...

Estimation of Travel Time in the City Using Neural Networks Trained with Simulated Urban Traffic Data. https://doi.org/10.1007/978-3-319-91446-6_13.

Sep 7, 2024 · Introduces a novel two-stage feature selection method for travel time prediction. The proposed feature selection method reduces features by up to 50%.

Estimating the travel time of a path is of great importance to smart urban mobility. Existing ap- proaches are either based on estimating the time.

Jun 19, 2023 · This paper developed a novel hybrid deep learning model to estimate optimized travel time and possible trajectories. In this work, U-Net used to ...

We propose a novel spatial–temporal graph neural network framework, namely STGNN-TTE, for travel time estimation.

Estimating the travel time of any path (denoted by a sequence of connected road segments) in a city is of great importance to traffic monitoring, route planning ...

This paper adopts the Kalman filter as a travel time prediction model for a single bus based on single-line detection.

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