TY - GEN
T1 - Control of networked traffic flow distribution - A stochastic distribution system perspective
AU - Wang, Hong
AU - Young, Stanley E.
AU - Abdul Aziz, H. M.
AU - Patil, Sagar
N1 - Publisher Copyright:
© 2017 Association for Computing Machinery.
PY - 2017/10/17
Y1 - 2017/10/17
N2 - 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.
AB - 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.
KW - Stochastic distribution control
KW - Traffic queueing modelling
UR - http://www.scopus.com/inward/record.url?scp=85048364478&partnerID=8YFLogxK
U2 - 10.1145/3109761.3158411
DO - 10.1145/3109761.3158411
M3 - Conference contribution
AN - SCOPUS:85048364478
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the International Conference on Internet of Things and Machine Learning, IML 2017
A2 - Hamdan, Hani
A2 - Hidoussi, Faouzi
A2 - Boubiche, Djallel Eddine
PB - Association for Computing Machinery
T2 - 1st International Conference on Internet of Things and Machine Learning, IML 2017
Y2 - 17 October 2017 through 18 October 2017
ER -
