Joint clustering and prediction approach for travel time prediction. [PDF]
PLoS ONE, 2022 Modeling and prediction of traffic systems is a challenging task due to the complex interactions within the system. Identification of significant regressors and using them to improve travel time predictions is a concept of interest.
Hima Elsa Shaji +2 more
doaj +5 more sources
Travel time prediction of urban public transportation based on detection of single routes [PDF]
PLoS ONE, 2022 Improving travel time prediction for public transit effectively enhances service reliability, optimizes travel structure, and alleviates traffic problems.
Xinhuan Zhang +5 more
doaj +4 more sources
Multi-View Travel Time Prediction Based on Electronic Toll Collection Data [PDF]
Entropy, 2022 The travel time prediction of vehicles is an important part of intelligent expressways. It can not only provide the vehicle distribution trend of each section for the expressway management department to assist the fine management of the expressway, but ...
Sijie Luo +5 more
doaj +3 more sources
An attention-based recurrent learning model for short-term travel time prediction. [PDF]
PLoS ONE, 2022 With the advent of Big Data technology and the Internet of Things, Intelligent Transportation Systems (ITS) have become inevitable for future transportation networks.
Jawad-Ur-Rehman Chughtai +2 more
doaj +4 more sources
Bus Travel Time Prediction Model Based on Profile Similarity [PDF]
Sensors, 2019 In road-based mass transit systems, travel time is a key factor in providing quality of service. This article proposes a method of predicting travel time for this type of transport system.
Teresa Cristóbal +5 more
doaj +6 more sources
An LSTM-Based Method with Attention Mechanism for Travel Time Prediction [PDF]
Sensors, 2019 Traffic prediction is based on modeling the complex non-linear spatiotemporal traffic dynamics in road network. In recent years, Long Short-Term Memory has been applied to traffic prediction, achieving better performance.
Xiangdong Ran +3 more
doaj +3 more sources
Enhancing travel time prediction with deep learning on chronological and retrospective time order information of big traffic data. [PDF]
Ann Oper Res, 2023 With growing environmental concerns and the exploitation of ubiquitous big data, smart transportation is transforming logistics business and operations into a more sustainable approach.
Chen CYT, Sun EW, Chang MF, Lin YB.
europepmc +2 more sources
Travel Time Prediction using Tree-Based Ensembles [PDF]
, 2020 In this paper, we consider the task of predicting travel times between two arbitrary points in an urban scenario. We view this problem from two temporal perspectives: long-term forecasting with a horizon of several days and short-term forecasting with a ...
B Yu +12 more
core +3 more sources
Vehicle Travel Time Estimation Using Sequence Prediction
Promet (Zagreb), 2020 This paper proposes a region-based travel time and traffic speed prediction method using sequence prediction. Floating Car Data collected from 8,317 vehicles during 34 days are used for evaluation purposes.
Gültekin Gündüz, Tankut Acarman
doaj +5 more sources
Travel time predictions: should one model speeds or travel times? [PDF]
European Transport Research Review, 2018 Purpose Travel time predictions are of importance for individual trip planning as well as for logistics applications. Since travel time and travel speed have a one-one correspondence, the modeller has the choice to model travel times directly or model ...
Dietmar Bauer, Mirsad Tulic
doaj +3 more sources