Daniel Albarnaz Farias

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2017-109

May 19, 2017

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2017/EECS-2017-109.pdf

This report discusses how the maximum acceleration and proportion of vehicles using ACC and CACC technology affect the throughput of a given intersection. In most cases, two scenarios are simulated and discussed: (1) free flow after an intersection, and (2) a second intersection 300 meters after the first intersection. Lastly, a microscopic-level simulation of a four-mile length arterial network in Arcadia is used to evaluate the performance of ACC and CACC vehicles. These simulations use the mean travel time and standard deviation as measures of performance. Platoon performance is able to achieve near optimal results when compared to best-case theoretical models. The report concludes the possibility for a very high improvement in urban road capacity by utilizing ACC and CACC technologies at little cost to infrastructure.

Advisors: Pravin Varaiya and Kannan Ramchandran

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BibTeX citation:

@mastersthesis{Albarnaz Farias:EECS-2017-109,
    Author= {Albarnaz Farias, Daniel},
    Title= {Using Adaptive and Cooperative Adaptive Cruise Control to Maximize Throughput of Signalized Arterials},
    School= {EECS Department, University of California, Berkeley},
    Year= {2017},
    Month= {May},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2017/EECS-2017-109.html},
    Number= {UCB/EECS-2017-109},
    Abstract= {This report discusses how the maximum acceleration and proportion of vehicles using ACC and CACC technology affect the throughput of a given intersection. In most cases, two scenarios are simulated and discussed: (1) free flow after an intersection, and (2) a second intersection 300 meters after the first intersection. Lastly, a microscopic-level simulation of a four-mile length arterial network in Arcadia is used to evaluate the performance of ACC and CACC vehicles. These simulations use the mean travel time and standard deviation as measures of performance. Platoon performance is able to achieve near optimal results when compared to best-case theoretical models. The report concludes the possibility for a very high improvement in urban road capacity by utilizing ACC and CACC technologies at little cost to infrastructure.},
}

EndNote citation:

%0 Thesis
%A Albarnaz Farias, Daniel 
%T Using Adaptive and Cooperative Adaptive Cruise Control to Maximize Throughput of Signalized Arterials
%I EECS Department, University of California, Berkeley
%D 2017
%8 May 19
%@ UCB/EECS-2017-109
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2017/EECS-2017-109.html
%F Albarnaz Farias:EECS-2017-109