Vehicle traffic delay prediction in ferry terminal based on Bayesian multiple models combination method
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Vehicle traffic delay prediction in ferry terminal based on Bayesian multiple models combination method
Authors
Keywords
-
Journal
Transportmetrica A-Transport Science
Volume 13, Issue 5, Pages 467-490
Publisher
Informa UK Limited
Online
2017-02-14
DOI
10.1080/23249935.2017.1294631
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A method of emission and traveller behavior analysis under multimodal traffic condition
- (2017) Weibin Zhang et al. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
- Linguistic summaries of locally periodic time series
- (2016) Gilles Moyse et al. FUZZY SETS AND SYSTEMS
- Hybrid short-term prediction of traffic volume at ferry terminal based on data fusion
- (2016) Weibin Zhang et al. IET Intelligent Transport Systems
- Short-term prediction of vehicle waiting queue at ferry terminal based on machine learning method
- (2016) Weibin Zhang et al. JOURNAL OF MARINE SCIENCE AND TECHNOLOGY
- Hybrid short-term freeway speed prediction methods based on periodic analysis
- (2015) Yajie Zou et al. CANADIAN JOURNAL OF CIVIL ENGINEERING
- Urban traffic flow forecasting through statistical and neural network bagging ensemble hybrid modeling
- (2015) Fabio Moretti et al. NEUROCOMPUTING
- A method for detecting possible near miss ship collisions from AIS data
- (2015) Weibin Zhang et al. OCEAN ENGINEERING
- Modeling Seasonal Heteroscedasticity in Vehicular Traffic Condition Series Using a Seasonal Adjustment Approach
- (2014) Guogang Shi et al. JOURNAL OF TRANSPORTATION ENGINEERING
- New Bayesian combination method for short-term traffic flow forecasting
- (2014) Jian Wang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Hybrid Prediction Approach Based on Weekly Similarities of Traffic Flow for Different Temporal Scales
- (2014) Jinjun Tang et al. TRANSPORTATION RESEARCH RECORD
- A review of travel time estimation and forecasting for Advanced Traveller Information Systems
- (2014) Usue Mori et al. Transportmetrica A-Transport Science
- A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model
- (2013) Yanru Zhang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A space–time diurnal method for short-term freeway travel time prediction
- (2013) Yajie Zou et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Constructing a bivariate distribution for freeway speed and headway data
- (2012) Yajie Zou et al. Transportmetrica A-Transport Science
- A Multistep Corridor Travel-Time Prediction Method Using Presence-Type Vehicle Detector Data
- (2011) Jingxin Xia et al. Journal of Intelligent Transportation Systems
- Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks
- (2011) Yu Wei et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Kernel-Based Machine Learning Models for Predicting Daily Truck Volume at Seaport Terminals
- (2010) Yuanchang Xie et al. JOURNAL OF TRANSPORTATION ENGINEERING
- Dynamic multi-interval bus travel time prediction using bus transit data
- (2009) Hyunho Chang et al. Transportmetrica
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started