|
|
|
|
|
Serge P. Hoogendoorn, Winnie Daamen, Victor L. Knoop, Jeroen Steenbakkers, Majid Sarvi
Pág. 480 - 496
The Macroscopic Fundamental diagram (MFD) has proven to be a powerful concept in understanding and managing vehicular network dynamics, both from a theoretical angle and from a more application-oriented perspective. In this contribution, we explore the e...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ziyuan Gu, Meead Saberi, Majid Sarvi, Zhiyuan Liu
Pág. 901 - 921
Existing methods for calibrating link fundamental diagrams (FDs) often focus on a limited number of links and use grouping strategies that are largely dependent on roadway physical attributes alone. In this study, we propose a big data-driven two-stage c...
ver más
|
|
|
|
|
|
|
|
|
|
|
Saksa, T. Uuttera, J. Kolstrom, T. Lehikoinen, M. Pekkarinen, A. Sarvi, V.
Pág. 537 - 546
|
|
|
|
|
|