Cellular automata model for use with real freeway data

Dailey, D. J.; Taiyab, N.

i

Cellular automata model for use with real freeway data

2002-01-01
By Dailey, D. J. ; Taiyab, N.

File Language:

English

Details

Creators:

Dailey, D. J. ; Taiyab, N.
Corporate Creators:

Washington State Transportation Center ; United States. Federal Highway Administration ; Washington (State). Department of Transportation ; University of Washington. ITS Research Program
Subject/TRT Terms:
Publication/ Report Number:

WA-RD-537.1
Resource Type:

Research Paper
Geographical Coverage:

United States
Edition:

Draft Research Report
Corporate Publisher:

Washington (State). Department of Transportation. Research Office
Abstract:

The exponential rate of increase in freeway traffic is expanding the need for accurate and ; realistic methods to model and predict traffic flow. Traffic modeling and simulation facilitates an ; examination of both microscopic and macroscopic views of traffic flows and is therefore considered ; one of the most important analytical tools in traffic engineering. This report presents a cellular ; automata model for traffic flow simulation and prediction (CATS). Cellular automata models quantize ; complex behavior into simple individual components. In this model, the freeway being simulated is ; discretized into homogeneous cells of equal length, and time is discretized into timesteps of equal ; duration. The CATS model allows users to define locations within the road topology where volume and ; density data will be calculated so that the model results can be compared to observed highway data.
Format:

PDF
Funding:

Agreement T1803, Task 22
Download URL:

https://rosap.ntl.bts.gov/view/dot/5216/dot_5216_DS1.pdf
File Type:

[PDF - 661.17 KB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:73bff7df51511aac52f83969935035cd25d58f8d3313c73a5618c89d3e7daa675a55e65bb166536055e9ca5d529215cefdc5ae05b2462dbbb1018ab70a944407

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.