Spatiotemporal Modeling and Real-Time Prediction of Origin-Destination Traffic Demand-Reference-Cited by-同舟云学术

Spatiotemporal Modeling and Real-Time Prediction of Origin-Destination Traffic Demand

Published:2020-01-22 Issue:1 Volume:63 Page:77-89
ISSN:0040-1706
Container-title:Technometrics
language:en
Short-container-title:Technometrics

Author:

Xian Xiaochen¹,Ye Honghan²,Wang Xin²³,Liu Kaibo²

Affiliation:

1. Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL

2. Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI

3. Grainger Institute for Engineering, University of Wisconsin-Madison, Madison, WI

Funder

National Science Foundation

Publisher

Informa UK Limited

Subject

Applied Mathematics,Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00401706.2019.1704887

Reference41 articles.

1. Use of Poisson spatiotemporal regression models for the Brazilian Amazon Forest: malaria count data

2. Dynamic ride-sharing: A simulation study in metro Atlanta

3. Ashok, K. (1996), “Estimation and Prediction of Time-Dependent Origin-Destination Flows,” Doctoral dissertation, Massachusetts Institute of Technology.

4. Estimation and Prediction of Time-Dependent Origin-Destination Flows with a Stochastic Mapping to Path Flows and Link Flows

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