Details:

Creators:
Mughabghab, S. ; Azarm, A. ; Stock, D.
Mughabghab, S. ; Azarm, A. ; Stock, D. Less -
Corporate Contributors:
Brookhaven National Laboratory
Subject/TRT Terms:
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Advanced Traffic Occupancy Prediction (ATOP) Congestion Forecasting Models Forward Differencing Lax Method Long Island Expressway Macroscopic Traffic Modeling Advanced Traffic Management Systems Computer Models Finite Differences Highway Capacity Intelligent Transportation Systems Programs Traffic Congestion Traffic Density Traffic Forecasting Traffic Simulation Traffic Speed
Resource Type:
Research Paper
Geographical Coverage:
New York
NTL Classification:
NTL-HIGHWAY/ROAD TRANSPORTATION-HIGHWAY/ROAD TRANSPORTATIONNTL-INTELLIGENT TRANSPORTATION SYSTEMS-INTELLIGENT TRANSPORTATION SYSTEMSNTL-PLANNING AND POLICY-Travel DemandNTL-OPERATIONS AND TRAFFIC CONTROLS-CongestionNTL-OPERATIONS AND TRAFFIC CONTROLS-Traffic Flow
Abstract:
The Intelligent Transportation System (ITS) Program was established to improve the efficiency and effectiveness of surface transportation in the United States. One aspect of this program is Advanced Traffic Management Systems (ATMS). As part of the ATMS research, the Brookhaven National Laboratory (BNL) is developing a congestion forecasting model for the Long Island INFORM management system. The BNL computer model developed for this project is called ATOP, Advanced Traffic Occupancy Prediction. Several macroscopic models, based on the solution of partial differential equation of conservation of vehicles by finite difference method, were tested using actual traffic data. The functional form, as well as the parameters, of the equation of state which describes the relation between traffic speed and traffic density, were determined for a section of the Long Island Expressway. The Lax method and forward difference technique were applied. The results of extensive tests showed that the Lax method, in addition to giving very good agreement with traffic data, produces stable solutions. Prepared under contract DE-AC02-76CH00016. 15 figures, 1 table, 12 references. 1372k, 30p.
Format:
PDF
Collection(s):
US Transportation Collection
Main Document Checksum:
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urn:sha256:ab1e17150d26d64f5e6eb79e4ce7db4436152b23f560c6faf3980c3a6ef54ba0
Download URL:
https://rosap.ntl.bts.gov/view/dot/13844/dot_13844_DS1.pdf
File Type:

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