Visualizing Vehicle Acceleration and Braking Energy at Intersections along a Major Traffic Corridor
| Autor: | Tim J. LaClair, Chieh Wang, Jibonananda Sanyal, Haowen Xu, Anne Berres |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
050210 logistics & transportation
Visual analytics Computer science 05 social sciences Real-time computing Traffic simulation 020207 software engineering 02 engineering and technology Energy consumption Traffic congestion 0502 economics and business Brake 0202 electrical engineering electronic engineering information engineering Dashboard Energy (signal processing) Intersection (aeronautics) |
| Zdroj: | e-Energy DOE / OSTI |
| DOI: | 10.1145/3447555.3466603 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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