Abstract
Automobiles approaching a controlled intersection need to brake and come to a full stop when the signal transitions from green to red, and the vehicle must later accelerate to normal speeds after the signal changes back to green. These stops and starts associated with normal signal changes lead to unnecessary energy consumption and vehicle emissions. Previous studies have revealed that the optimization of traffic intersections' signal controls and coordination facilitates smoother traffic flows with reduced stop-and-go driving, which can significantly reduce traffic congestion and unnecessary fuel waste. This paper presents an interactive visual analytics dashboard that allows transportation planners to explore and analyze energy consumption patterns resulting from temporally varying traffic signal phases at multiple intersections along a major transportation corridor using traffic simulation outputs. The visual dashboard is implemented as an accessible and responsive web application and employs a combination of visualization techniques to cover multiple aspects of vehicle acceleration and braking at multiple adjacent intersections along a corridor. The paper presents a case study of a simulated traffic scenario on the Shallowford Road traffic corridor located in Chattanooga, Tennessee to demonstrate the capability of the visual dashboard.
Original language | English |
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Title of host publication | e-Energy 2021 - Proceedings of the 2021 12th ACM International Conference on Future Energy Systems |
Publisher | Association for Computing Machinery, Inc |
Pages | 401-405 |
Number of pages | 5 |
ISBN (Electronic) | 9781450383332 |
DOIs | |
State | Published - Jun 22 2021 |
Event | 12th ACM International Conference on Future Energy Systems, e-Energy 2021 - Virtual, Online, Italy Duration: Jun 28 2021 → Jul 2 2021 |
Publication series
Name | e-Energy 2021 - Proceedings of the 2021 12th ACM International Conference on Future Energy Systems |
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Conference
Conference | 12th ACM International Conference on Future Energy Systems, e-Energy 2021 |
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Country/Territory | Italy |
City | Virtual, Online |
Period | 06/28/21 → 07/2/21 |
Funding
This work was supported by the U.S. Department of Energy (U.S DOE), Office of Energy Efficiency and Renewable Energy, Vehicle Technologies Office. We thank the Chattanooga Department of Transportation for their guidance and providing the road network, signal timing, and demand data that were used for the simulation setup. (开is work was supported by the U.S. Department of Energy (U.S DOE), O)xce of Energy E)xciency and Renewable Energy, Vehicle Technologies O)xce. We thank the Cha(刀anooga Department of Transportation for their guidance and providing the road network, signal timing, and demand data that were used for the simulation setup.
Keywords
- energy visualization
- traffic energy use
- traffic visualization