Neural network computing model for highway construction project scheduling and management : final report, October 1999.

Adeli, H.

i

Neural network computing model for highway construction project scheduling and management : final report, October 1999.

1999-10-01
By Adeli, H.

File Language:

English

Details

Creators:

Adeli, H.
Corporate Contributors:

Ohio. Dept. of Transportation ; United States. Federal Highway Administration
Subject/TRT Terms:
Publication/ Report Number:

FHWA/OH-99/010
Resource Type:

Tech Report
Geographical Coverage:

Ohio
Edition:

Final report.
Corporate Publisher:

Ohio. Dept. of Transportation
Description:

A general mathematical formulation has been developed for scheduling of construction projects and applied to the problem of highway construction scheduling. Repetitive and non-repetitive tasks, work continuity considerations, multiple-crew strategies, and;Sponsored by Federal Highway Administration, Columbus, OH. Ohio Div. and Ohio Dept. of Transportation, Columbus.;pg 180
Format:

PDF
Funding:

14634(0)
Download URL:

https://rosap.ntl.bts.gov/view/dot/15326/dot_15326_DS1.pdf
File Type:

[PDF - 6.33 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:621c4f50383a26015bb34b26226dc9a70db57c6d3f520811fc434f7110e39d4f

File Language:

English

ON THIS PAGE

Details

Found an issue?

Send us an email at:

publishinghd@cdc.gov

ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.