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 +4 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 +3 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 +2 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 +3 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 +2 more sources
Travel Time Prediction: Based on Gated Recurrent Unit Method and Data Fusion
IEEE Access, 2018 Travel time prediction is the basis for the implementation of advanced traveler information systems and advanced transport management systems in intelligent transportation systems.
Jiandong Zhao +5 more
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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 +2 more sources
A comparative study and simple baseline for travel time prediction [PDF]
Scientific ReportsAccurate travel time prediction (TTP) is essential to freeway users, including drivers, administrators, and freight-related companies, for enabling them to plan trips effectively and mitigate traffic congestion.
Chuang-Chieh Lin +3 more
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Research on Travel Time Prediction Model of Freeway Based on Gradient Boosting Decision Tree
IEEE Access, 2019 To improve the prediction accuracy of traffic flow, a travel time prediction model based on gradient boosting decision tree (GBDT) is proposed. In order to test the applicability of GBDT, models with different prediction horizons (5 min ahead, 10 min ...
Juan Cheng, Gen Li, Xianhua Chen
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Research on Expressway Travel Time Prediction Based on Exclusive Disjunctive Soft Set [PDF]
MATEC Web of Conferences, 2020 In order to study the prediction problem of expressway travel time, due to the ambiguity and uncertainty in the road traffic system, the travel time prediction model is established based on the exclusive disjunctive soft set theory. Through the parameter
Wang Qingqing, Li Huamin, Xiong Weixin
doaj +1 more source