Predicting the duration and impact of the non-recurring road incidents on the transportation network
Non-recurring incidents such as accidents, vehicle breakdowns, etc. are leading causes of severe traffic congestion in large cities. Consequently, anticipating the impact of such events in advance can be highly useful in mitigating the resultant congestion. However, availability of partial informati...
Main Author: | Ghosh, Banishree |
---|---|
Other Authors: | Justin Dauwels |
Format: | Thesis |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/90152 http://hdl.handle.net/10220/48435 |
Similar Items
-
Predicting the duration of non-recurring road incidents by cluster-specific models
by: Ghosh, Banishree, et al.
Published: (2017) -
Dynamic prediction of the incident duration using adaptive feature set
by: Ghosh, Banishree, et al.
Published: (2020) -
Analysis and prediction of traffic congestion and incident duration in a road network
by: Kalyanaraman Manikandan Jananni
Published: (2018) -
Research on effects of biodiesel impacts on road transport
by: Bai, Huishi
Published: (2012) -
Road freight transport research
by: Luk, James, et al.
Published: (2008)