01657432

Component

https://doi.org/10.1177/0361198118797456

https://doi.org/10.1177/0361198118797456

In urban areas, the main factor causing excessive fuel consumption is stop-and-go, which is prevalent at urban intersections. To decrease fuel consumption at the intersections, various methods have been proposed and evaluated using simulation models and driving simulators. However, it is not known how reliable the driving simulator results would be when compared with those of the field test. In this paper, eco-driving guidance and eco-signal system based on vehicle-to-infrastructure communication are developed and tested in the field in a multi-vehicle environment. They were also tested using a driving simulator and the results were compared with those of the field test. This was intended to assess the reliability of driving simulator-based study. The field test results at an isolated intersection indicated that the eco-driving guidance could save the fuel consumption around 20%–40% and the eco-signal system could reduce the fuel consumption up to 45%. Although the absolute fuel consumptions between the driving simulator test and the field test did not match, the results from both tests confirmed better performance with eco-driving guidance and eco-signal system when compared with the base scenarios. This indicates that a driving simulator is an effective tool for assessing relative benefits of eco-driving guidance and eco-signal system.

18-05021

English

pp 123-138

2018

Transportation Research Record: Journal of the Transportation Research Board

Print

Appendices (1) ; Figures (5) ; Photos; References (26) ; Tables (2)

Connected vehicles; Driving simulators; Ecodriving; Evaluation; Field tests; Traffic signal control systems; Vehicle to infrastructure communications

Data and Information Technology; Energy; Environment; Highways

TRIS, TRB, ATRI

Jan 8 2018 11:15AM

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• Characteristics Analysis and Modeling of Emissions for Bus with Liquefied Natural Gas Fuel System in Real World Driving
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• Effect of Light Duty Vehicle Performance on a Driving Style Metric
• Effectiveness of Idle Reduction Technologies in Reducing Driver Exposure to Diesel Emissions
• Efficiently Simulating Personal Vehicle Energy Consumption in Mesoscopic Transport Models
• Estimating Vehicular Emission Impact of Nighttime Construction with VISSIM and Different MOVES Emission Estimation Approaches
• Integrating Engine Start, Soak, Evaporative, and Truck Hoteling Emissions into MOVES-Matrix
• Investigating the Impact of Meteorological Conditions on Near-Road Pollutant Dispersion between Daytime and Nighttime Periods
• Modeling Urban Bus Fuel Consumption in Shanghai, China, Based on Localized MOVES
• Navigation Application Programming Interface Route Fuel Saving Opportunity Assessment on Large-Scale Real-World Travel Data for Conventional Vehicles and Hybrid Electric Vehicles
• Reducing Transportation Greenhouse Gas Emissions Through the Development of Policies Targeting High-Emitting Trips
• The Impact of Different Validation Datasets on Air Quality Modeling Performance
• The Potential of Metering Roundabouts: Influence in Transportation Externalities