Results 31 to 40 of about 63,289 (291)
Travel Time Probability Prediction Based on Constrained LSTM Quantile Regression
Journal of Advanced Transportation, 2023 Travel time reliability assessment has been widely used in recent years to evaluate the performance of transportation networks and measure the operation level of transportation systems.
Hao Li +5 more
doaj +1 more source
Travel time prediction using machine learning [PDF]
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2011 This paper investigates the application of a Machine Learning technique to predict the time that will be spent by a vehicle between any two points in an approximated area. The prediction is based on a learning process based on historical data about the movements performed by the vehicles taking into account a set of semantic variables to get estimated ...
Leone Pereira Masiero +2 more
openaire +1 more source
Urban road travel time prediction based on gated recurrent unit using internet data
IET Intelligent Transport Systems, 2023 Traffic congestion has been aggravated in many cities, which not only negatively affects the traffic efficiency, but also exacerbates the related social problems.
Rui Li +6 more
doaj +1 more source
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 horizon of one hour.
He Huang +3 more
openaire +3 more sources
Predicting Volunteer Travel Time to Emergencies.
, 2022 Funding agencies: This research was partly funded by the Swedish Civil Contingencies Agency (MSB), through the Center for Advanced Research in Emergency Response (CARER).
Andersson Granberg, Tobias +4 more
openaire +2 more sources
Simulation-Assignment-Based Travel Time Prediction Model for Traffic Corridors
, 2014 Travel time prediction in Advanced Traveler Information Systems is an important issue, because travel time is a major factor in motorists' decisions to avoid congestion and incidents. A simulation-assignment-based travel time prediction model for traffic
Hu, Ta-Yin; Tong, Chee-Chung; Liao, Tsai-Yun; Ho, Wei-Ming
core +1 more source
Entropy, 2021 Smart transportation is an important part of smart urban areas, and travel characteristics analysis and traffic prediction modeling are the two key technical measures of building smart transportation systems.
Shenghan Zhou +6 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm +11 more
wiley +1 more source
Comparison of Machine Learning and Statistical Approaches for Predicting Travel Times in the Oklahoma Highway System [PDF]
, 2020 Traffic management systems play a vital role in supporting the smooth flow of traffic in road networks. By accurately predicting travel time, a traffic condition parameter that is extensively used in such systems, we can significantly improve the ...
Saidi, Said Jalal
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook +6 more
wiley +1 more source