Measuring the Confidence of Single-Point Traffic Forecasting Models: Techniques, Experimental Comparison, and Guidelines Toward Their Actionability
Author:
Affiliation:
1. Olabarrieta are with TECNALIA, Basque Research and Technology Alliance (BRTA), Derio, Bizkaia, Spain
2. Department of Communications Engineering, University of the Basque Country (UPV/EHU), Bilbao, Spain
Funder
European Union’s Horizon 2020 Program through the project “URBANITE: Supporting the decision-making in urban transformation with the use of disruptive technologies”
Basque Government
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6979/10659279/10472567.pdf?arnumber=10472567
Reference111 articles.
1. Road Traffic Forecasting: Recent Advances and New Challenges
2. Analysis of freeway traffic time-series data by using box-jenkins techniques;Ahmed;Transp. Res. Rec.,1979
3. On forecasting freeway occupancies and volumes (abridgment);Levin;Transp. Res. Rec.,1980
4. Short term traffic forecasting using time series methods
5. Spatio-Temporal Short-Term Urban Traffic Volume Forecasting Using Genetically Optimized Modular Networks
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