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.
Original language | American English |
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DOIs | |
State | Published - 17 Oct 2017 |
Event | 1st International Conference on Internet of Things and Machine Learning, IML 2017 - Liverpool, United Kingdom Duration: 17 Oct 2017 → 18 Oct 2017 |
Conference
Conference | 1st International Conference on Internet of Things and Machine Learning, IML 2017 |
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Country/Territory | United Kingdom |
City | Liverpool |
Period | 17/10/17 → 18/10/17 |
Bibliographical note
Publisher Copyright:© 2017 Association for Computing Machinery.
NREL Publication Number
- NREL/CP-5400-71863
Other Report Number
- Article No. 37
Keywords
- Stochastic distribution control
- Traffic queueing modelling