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Title: Control of Networked Traffic Flow Distribution: A Stochastic Distribution System Perspective

Abstract

At signalized intersections, the traffic queues are controlled by traffic signal control settings and effective traffic lights control would realize both smooth traffic flow and minimize fuel consumption. Funded by the Energy Efficient Mobility Systems (EEMS) program of the Vehicle Technologies Office of the US Department of Energy, we performed a preliminary investigation on the modelling and control framework in context of urban network of signalized intersections. In specific, we developed a recursive input-output traffic queueing models. The queue formation can be modeled as a stochastic process where the number of vehicles entering each intersection is a random number. Further, we proposed a preliminary B-Spline stochastic modelling and control for a one-way single-lane corridor traffic system based on theory of stochastic distribution control that shapes the PDF of the queue length.

Authors:
ORCiD logo [1];  [2];  [3];  [2]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  2. Pacific Northwest National Laboratory
  3. Oak Ridge National Laboratory
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1459321
Report Number(s):
NREL/CP-5400-71863
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the International Conference on Internet of Things and Machine Learning (IML 2017), 17-18 October 2017, Liverpool, United Kingdom
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; signal control; traffic flow distribution

Citation Formats

Young, Stanley E, Wang, Hong, Aziz, H. M. Abdul, and Patil, Sagar. Control of Networked Traffic Flow Distribution: A Stochastic Distribution System Perspective. United States: N. p., 2017. Web. doi:10.1145/3109761.3158411.
Young, Stanley E, Wang, Hong, Aziz, H. M. Abdul, & Patil, Sagar. Control of Networked Traffic Flow Distribution: A Stochastic Distribution System Perspective. United States. doi:10.1145/3109761.3158411.
Young, Stanley E, Wang, Hong, Aziz, H. M. Abdul, and Patil, Sagar. Tue . "Control of Networked Traffic Flow Distribution: A Stochastic Distribution System Perspective". United States. doi:10.1145/3109761.3158411.
@article{osti_1459321,
title = {Control of Networked Traffic Flow Distribution: A Stochastic Distribution System Perspective},
author = {Young, Stanley E and Wang, Hong and Aziz, H. M. Abdul and Patil, Sagar},
abstractNote = {At signalized intersections, the traffic queues are controlled by traffic signal control settings and effective traffic lights control would realize both smooth traffic flow and minimize fuel consumption. Funded by the Energy Efficient Mobility Systems (EEMS) program of the Vehicle Technologies Office of the US Department of Energy, we performed a preliminary investigation on the modelling and control framework in context of urban network of signalized intersections. In specific, we developed a recursive input-output traffic queueing models. The queue formation can be modeled as a stochastic process where the number of vehicles entering each intersection is a random number. Further, we proposed a preliminary B-Spline stochastic modelling and control for a one-way single-lane corridor traffic system based on theory of stochastic distribution control that shapes the PDF of the queue length.},
doi = {10.1145/3109761.3158411},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Oct 17 00:00:00 EDT 2017},
month = {Tue Oct 17 00:00:00 EDT 2017}
}

Conference:
Other availability
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