Eco-Cooperative Adaptive Cruise Control at Multiple Signalized Intersections
Consecutive traffic signals produce continuous vehicle stops and accelerations on arterial roads and increase fuel consumption levels significantly. Eco-cooperative adaptive cruise control (Eco-CACC) systems are one method to improve energy efficiency with the help of connected vehicle technology. In this paper, an Eco-CACC system is proposed to compute a fuel-optimized vehicle trajectory while traversing more than one signalized intersection. The proposed system utilizes the information of signal phasing and timing (SPaT) and real-time vehicle dynamics to find optimal acceleration/deceleration rates and cruise speed for connected-technology-equipped vehicles when approaching intersections. A comprehensive sensitivity analysis of a set of variables, including market penetration rates (MPRs), demand levels, phase splits, offsets and distances between intersections, are applied with the INTEGRATION microscopic simulator to assess the benefits of the proposed algorithm. At 100% equipped-vehicle MPR, fuel consumption can be reduced as much as 13%. The study also demonstrates that the algorithm does not work efficiently on an over-saturated network, indicating the need for further work to enhance the algorithm.
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Supplemental Notes:
- This paper was sponsored by TRB committee ADC20 Standing Committee on Transportation and Air Quality.
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Corporate Authors:
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Authors:
- Yang, Hao
- Almutairi, Fawaz
- Rakha, Hesham
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Conference:
- Transportation Research Board 96th Annual Meeting
- Location: Washington DC, United States
- Date: 2017-1-8 to 2017-1-12
- Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References;
- Pagination: 25p
- Monograph Title: TRB 96th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Algorithms; Autonomous intelligent cruise control; Ecodriving; Fuel conservation; Fuel consumption; Mobile communication systems; Optimization; Sensitivity analysis; Signalized intersections; Traffic signal phases; Traffic signal timing; Traffic simulation; Vehicle trajectories
- Subject Areas: Energy; Highways; Operations and Traffic Management; Vehicles and Equipment;
Filing Info
- Accession Number: 01626787
- Record Type: Publication
- Report/Paper Numbers: 17-05237
- Files: TRIS, TRB, ATRI
- Created Date: Feb 27 2017 9:26AM