Results 21 to 30 of about 63,289 (291)

Inland Vessel Travel Time Prediction via a Context-Aware Deep Learning Model

Journal of Marine Science and Engineering, 2023
Accurate vessel travel time estimation is crucial for optimizing port operations and ensuring port safety. Existing vessel travel time prediction models primarily rely on path-finding algorithms and corresponding distance/speed relationships to calculate
Tengze Fan, Deshan Chen, Chen Huang, Chi Tian, Xinping Yan   +4 more
doaj   +1 more source

Prediction of Commuter’s Daily Time Allocation

Promet (Zagreb), 2013
This paper presents a model system to predict the time allocation in commuters’ daily activity-travel pattern. The departure time and the arrival time are estimated with Ordered Probit model and Support Vector Regression is introduced for travel time and
Fang Zong, Jia Hongfei, Pan Xiang, Wu Yang   +3 more
doaj   +1 more source

Travel mode choice prediction based on personalized recommendation model

IET Intelligent Transport Systems, 2023
The accurate prediction of individual travel mode in the city is necessary for the development of urban traffic intelligence. Through deep analysis on distribution of travel modes, policy makers can make proper policies to improve traffic conditions ...
Zhilin Lai, Jing Wang, Junjie Zheng, Yuxing Ding, Cheng Wang, Huizhen Zhang   +5 more
doaj   +1 more source

Urban Traffic Travel Time Short-Term Prediction Model Based on Spatio-Temporal Feature Extraction

Journal of Advanced Transportation, 2020
In order to improve the accuracy of short-term travel time prediction in an urban road network, a hybrid model for spatio-temporal feature extraction and prediction of urban road network travel time is proposed in this research, which combines empirical ...
Leilei Kang, Guojing Hu, Hao Huang, Weike Lu, Lan Liu   +4 more
doaj   +1 more source

Multiple-Factor Based Sparse Urban Travel Time Prediction

Applied Sciences, 2018
The prediction of travel time is challenging given the sparseness of real-time traffic data and the uncertainty of travel, because it is influenced by multiple factors on the congested urban road networks.
Xinyan Zhu, Yaxin Fan, Faming Zhang, Xinyue Ye, Chen Chen, Han Yue   +5 more
doaj   +1 more source

Travel Time Prediction in Real time for GPS Taxi Data Streams and its Applications to Travel Safety

Human-Centric Intelligent Systems, 2023
The analysis of data streams offers a great opportunity for development of new methodologies and applications in the area of Intelligent Transportation Systems.
Sayan Putatunda, Arnab Kumar Laha
doaj   +1 more source

Catchment travel time distributions and water flow in soils [PDF]

, 2011
Many details about the flow of water in soils in a hillslope are unknowable given current technologies. One way of learning about the bulk effects of water velocity distributions on hillslopes is through the use of tracers.
Russo D, Botter G., Bertuzzo, E., Russo, D., Beven, K.J., Nicotina, L., D. Russo, Beven, K. J., Rinaldo, A, Rinaldo A, Rosso, D., BERTUZZO, ENRICO, FIORI, ALDO, RINALDO, ANDREA, Nicotina L, L. Nicotina, Davies, Jessica, E. Bertuzzo, A. Fiori, Beven KJ, A. Rinaldo, J. Davies, NICOTINA, LUDOVICO, Fiori, A., Beven, Keith, Fiori A, Davies J, G. Botter, Bertuzzo E, BOTTER, GIANLUCA, Davies, J., Rinaldo, A., K. J. Beven, Botter, G.   +33 more
core   +1 more source

Travel Time Prediction on Long-Distance Road Segments in Thailand

Applied Sciences, 2022
This study proposes a method by which to predict the travel time of vehicles on long-distance road segments in Thailand. We adopted the Self-Attention Long Short-Term Memory (SA-LSTM) model with a Butterworth low-pass filter to predict the travel time on
Rathachai Chawuthai, Nachaphat Ainthong, Surasee Intarawart, Niracha Boonyanaet, Agachai Sumalee   +4 more
doaj   +1 more source

Modelling travel time uncertainty in urban networks based on floating taxi data

European Transport Research Review, 2019
The prediction of the uncertainty of route travel time predictions for all possible routes in an urban road network is of importance for example for logistics. Such predictions need to take the essential features of the data set as well as the underlying
Dietmar Bauer, Mirsad Tulic, Wolfgang Scherrer   +2 more
doaj   +1 more source

Examining the Impact of Different Periodic Functions on Short-Term Freeway Travel Time Prediction Approaches

Journal of Advanced Transportation, 2020
Freeway travel time prediction is a key technology of Intelligent Transportation Systems (ITS). Many scholars have found that periodic function plays a positive role in improving the prediction accuracy of travel time prediction models. However, very few
Xu Miao, Bing Wu, Yajie Zou, Lingtao Wu
doaj   +1 more source