Travel Time Forecasting on a Freeway Corridor: a Dynamic Information Fusion Model based on the Random Forests Approach

Fan, Wei (David); Qiu, Bo

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Travel Time Forecasting on a Freeway Corridor: a Dynamic Information Fusion Model based on the Random Forests Approach

2021-09-01
By Fan, Wei (David) ; Qiu, Bo

File Language:

English

Details

Creators:

Fan, Wei (David) ; Qiu, Bo
Corporate Creators:

University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program
Subject/TRT Terms:

Artificial Intelligence Data Analysis Data Fusion Estimating Freeways Machine Learning Probe Vehicles Traffic Delays Travel Time
Publication/ Report Number:

2020 Project 01;CAMMSE-UNCC-2020-UTC-Project-01
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report
Corporate Publisher:

University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education
Format:

PDF
Funding:

69A3551747133
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

urn:sha-512:00da5a3d0c9926613e1bb0e38561b51d57a0bd8c5c54f904d732d0d7273a3a422c5eeac450dc09ccb8a8ea4ee10a1fd12f95f242002aa71263698ca036c74231
Download URL:

https://rosap.ntl.bts.gov/view/dot/58260/dot_58260_DS1.pdf
File Type:

[PDF - 1.14 MB ]

File Language:

English

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