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Title: Developing a Framework of Eco-Driving Application for Semi-Actuated Signal Control Considering Queue Effects
Accession Number: 01660983
Record Type: Component
Abstract: Eco-driving control systems aim to reduce the fuel consumptions by optimizing the vehicle trajectories near the signalized intersection using the signal phase and timing (SPaT) information. This paper presents a framework for developing an eco-driving application for semi-actuated signals. The proposed algorithm takes into consideration the queue effects due to traditional and connected/automated vehicles. The algorithm can easily be implemented with the installment of additional vehicle detector 300 m upstream of each minor approach. Results showed that the estimated fuel consumption for vehicles guided by the developed model was about 29.2% less than that of the case with no guidance. Moreover, a sensitivity analysis was performed to assess the impact of market penetration (MP), and results indicated that for MP the saving in fuel consumption increases with the increase in MP. Furthermore, when MP is greater than 50%, the model provides appreciable savings in the travel time. Furthermore, the estimated acceleration noise for the guided case was less than that of the case with no guidance by about 21.9%. This reduction in fuel consumption and acceleration noise is an indicator for reducing vehicle emissions and improving traffic safety. This finding is considered promising for potential applications of the developed model and further enhancement of its features.
Supplemental Notes: This paper was sponsored by TRB committee AHB25 Standing Committee on Traffic Signal Systems.
Developing a Framework of Eco-Driving Application for Semiactuated Signal Control Considering Queue Effects: This is an alternate title.
Report/Paper Numbers: 18-06509
Language: English
Authors: Mousa, Saleh RMousa, RagabIshak, SherifOsman, Osama APagination: 2p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
TRT Terms: Subject Areas: Energy; Environment; Highways; Operations and Traffic Management
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-06509
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 11:41AM
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