Cellular Automata Model for Work Zone Traffic

2010 ◽  
Vol 2188 (1) ◽  
pp. 131-139 ◽  
Author(s):  
Qiang Meng ◽  
Jinxian Weng
Author(s):  
Guohua Liang ◽  
Fengjing Wang ◽  
Wei Wang ◽  
Xiaoduan Sun ◽  
Wugong Wang

2018 ◽  
Vol 47 (1) ◽  
pp. 29-35
Author(s):  
Mohit Kumar Singh ◽  
Gaurav Pandey ◽  
K Ramachandra Rao

Increased delays and reduced speeds in work zones leads to congestion. This can be improved by optimizing the work zone length. The focus of this study is to model work zones using cellular automata model and to find the effects of work zones on traffic flow. The methodology adopted in the study involved creating work-zone on the road by blocking some of the cells and then determining traffic characteristics such as delay and queue lengths for model validation. For this the lateral movement rules of the existing Cellular Automata model were modified in order to replicate the traffic movement near work zones. This model is calibrated and validated using data from work zone observed near a metro rail station in Delhi. From the analysis it was evident that the queue length increased with increase in the length of work zone. Several relationships were tried between delay and work zone length. Among them the rational form was found suitable.


2007 ◽  
Vol 34 (4) ◽  
pp. 708-724 ◽  
Author(s):  
Daniel Stevens ◽  
Suzana Dragićević

This study proposes an alternative cellular automata (CA) model, which relaxes the traditional CA regular square grid and synchronous growth, and is designed for representations of land-use change in rural-urban fringe settings. The model uses high-resolution spatial data in the form of irregularly sized and shaped land parcels, and incorporates synchronous and asynchronous development in order to model more realistically land-use change at the land parcel scale. The model allows urban planners and other stakeholders to evaluate how different subdivision designs will influence development under varying population growth rates and buyer preferences. A model prototype has been developed in a common desktop GIS and applied to a rapidly developing area of a midsized Canadian city.


2020 ◽  
Vol 1680 ◽  
pp. 012035
Author(s):  
A K Matolygin ◽  
N A Shalyapina ◽  
M L Gromov ◽  
S N Torgaev

2003 ◽  
Vol 123 (1-2) ◽  
pp. 211-230 ◽  
Author(s):  
G.M. Crisci ◽  
S. Di Gregorio ◽  
R. Rongo ◽  
M. Scarpelli ◽  
W. Spataro ◽  
...  

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