Estimating intercity heavy truck mobility flows using the deep gravity framework
Year of publication: |
2023
|
---|---|
Authors: | Yang, Yitao ; Jia, Bin ; Yan, Xiao-Yong ; Chen, Yan ; Song, Dongdong ; Zhi, Danyue ; Wang, Yiyun ; Gao, Ziyou |
Published in: |
Transportation research / E : an international journal. - Amsterdam : Elsevier, ISSN 1366-5545, ZDB-ID 1380969-6. - Vol. 179.2023, p. 1-16
|
Subject: | Deep gravity framework | Deep neural network | Heavy trucks | Intercity mobility | Gravitationsmodell | Gravity model | Straßengüterverkehr | Road freight transport | Neuronale Netze | Neural networks | Theorie | Theory | Schätzung | Estimation | Lastkraftwagen | Truck |
-
Platoon optimization based on truck pairs
Bhoopalam, Anirudh Kishore, (2023)
-
The accident externality from trucking : Evidence from shale gas development
Muehlenbachs, Lucija A., (2021)
-
Contractibility and asset ownership : on-board computers and governance in US trucking
Baker, George P., (2000)
- More ...
-
Uncovering and modeling the hierarchical organization of urban heavy truck flows
Yang, Yitao, (2023)
-
Identifying intercity freight trip ends of heavy trucks from GPS data
Yang, Yitao, (2022)
-
Wang, Hui, (2024)
- More ...