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Freeway Travel Time Prediction Using Deep Hybrid Model – Taking Sun Yat-Sen Freeway as an Example

IEEE Transactions on Vehicular Technology, 2020
As the population keeps growing, traffic congestion happens more and more often. Consequently, travel time has become an important indicator of driving experience.
Pei-Ya Ting   +7 more
semanticscholar   +1 more source

Dynamic travel time prediction with spatiotemporal features: using a GNN-based deep learning method

Annals of Operations Research, 2023
Dujuan Wang   +5 more
semanticscholar   +1 more source

The real time prediction of freeway travel times

2021
This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
openaire   +1 more source

Travel-Time Prediction of Bus Journey With Multiple Bus Trips

IEEE transactions on intelligent transportation systems (Print), 2019
Accurate travel-time prediction of public transport is essential for reliable journey planning in urban transportation systems. However, existing studies on bus travel-/arrival-time prediction often focus only on improving the prediction accuracy of a ...
Peilan He   +3 more
semanticscholar   +1 more source

Real-Time Travel Time Prediction Framework for Departure Time and Route Advice

Transportation Research Record: Journal of the Transportation Research Board, 2015
Heavily used urban networks remain a challenge for travel time prediction because traffic flow is rarely homogeneous and is also subject to a wide variety of disturbances. Various models, some of which use traffic flow theory and some of which are data driven, have been developed to predict traffic flow and travel times.
Calvert, S.C. (author)   +4 more
openaire   +3 more sources

Historical Travel Time Based Bus-Arrival-Time Prediction Model

ICCTP 2011, 2011
Bus-arrival-time information service is a key component of an Advanced Public Transportation System (APTS). Instantaneous and accurate prediction of bus-arrival-time can improve the quality of transit service. With the input of tested historical bus travel time, a combined bus-arrival-time prediction model is promoted with a self adaptive exponential ...
Guojun Chen   +3 more
openaire   +1 more source

Underground mine truck travel time prediction based on stacking integrated learning

Engineering applications of artificial intelligence, 2023
Ning Li   +6 more
semanticscholar   +1 more source

Deep spatial-temporal travel time prediction model based on trajectory feature

Computers & electrical engineering, 2023
Zhaoyu Sheng   +3 more
semanticscholar   +1 more source

Travel-Time Prediction Methods: A Review

2018
Near-future Travel-time information is helpful to implement Intelligent Transportation Systems (ITS). Travel-time prediction refers to predicting future travel-time. Researchers have developed various methods to predict travel-time in the past decades. This paper conducts a review focusing on literatures, including techniques proposed recently.
Mengting Bai   +3 more
openaire   +1 more source

A Comparison Of Travel Time Reduction Using Current Vs. Partially Predictive Travel Times

The 3rd International Conference on Vehicle Navigation and Information Systems,, 2005
This paper describes an Advanced Traveler Information System which for the purposes of providing optimal route information for driver uses primarily current data, but also uses predictive data where incidents have sufficiently changed the capacity of a node or link. The prediction would be based on the expected demand and an estimate of the now-reduced
P.T.R. Wang   +3 more
openaire   +1 more source

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