Work

Development of a Statistical Model to Predict Traffic Congestion in Winter Seasons in Nagaoka, Japan Using Publicly Available Data

Year: 2019

Type: book-chapter

Source: Springer eBooks

DOI: 10.1007/978-981-13-7434-0_15

Authors: Hiroaki Ikeuchi, Kiichiro Hatoyama, Ryota Kusakabe, Ikumi Kariya

Institutions: Institute of Industrial Science, The University of Tokyo, The University of Tokyo, Nagaoka University of Technology

Language: English

Topic: Traffic Prediction and Management Techniques

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Climate action

Open Access status: closed

OpenAlex ID: W2960737697

FWCI: 2.375

Cites: 16

Cited by: 8

Related to: 10