Predictive Eco-Cruise Control (ECC) System: Model Development, Modeling and Potential Benefits

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dc.contributorVirginia Tech Transportation Instituteen
dc.contributorShekharan, Rajaen
dc.contributor.authorRakha, Hesham A.en
dc.contributor.authorAhn, Kyounghoen
dc.contributor.authorPark, Sangjunen
dc.date.accessed2015-06-30en
dc.date.accessioned2015-07-31T20:05:16Zen
dc.date.available2015-07-31T20:05:16Zen
dc.date.issued2013-02-19en
dc.description.abstractThe research develops a reference model of a predictive eco-cruise control (ECC) system that intelligently modulates vehicle speed within a pre-set speed range to minimize vehicle fuel consumption levels using roadway topographic information. The study includes five basic tasks: (a) develop a vehicle powertrain model that can be easily implemented within eco-driving tools, (b) develop a simple fuel consumption model that computes instantaneous vehicle fuel consumption levels based on power exerted, (c) evaluate manual driving and conventional cruise control (CC) driving using field-collected data, (d) develop a predictive ECC system that uses the developed vehicle powertrain and fuel consumption models, and (e) evaluate the potential benefits of the proposed predictive ECC system on a pre-trip and fleet-aggregate basis. This study develops a predictive ECC system that can save fuel and reduce CO2 emissions using road topography information. The performance of the system is tested by simulating a vehicle trip on a section of Interstate 81 in the state of Virginia. The results demonstrate fuel savings of up to 15 percent with execution times within real time. The study found that the implementation of the predictive ECC system could help achieving better fuel economy and air quality.en
dc.description.sponsorshipUnited States. Department of Transportation. Research and Innovative Technology Administrationen
dc.format.extent91 pagesen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRakha, H. A., Ahn, K., & Park, S. (2012). Aeris: Eco-driving application development and testing. (FHWA-RD-96-146). Washington, DC: United States. Department of Transportation. Research and Innovative Technology Administration. Retrieved from http://ntl.bts.gov/lib/47000/47500/47598/Final_Package_Eco-Driving-Applications_V3.pdf.en
dc.identifier.govdocVT-2009-03en
dc.identifier.urihttp://hdl.handle.net/10919/55106en
dc.identifier.urlhttp://ntl.bts.gov/lib/47000/47100/47142/VT-2009-03.pdfen
dc.language.isoenen
dc.publisherUnited States. Department of Transportation. Research and Innovative Technology Administrationen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectCruise controlen
dc.subjectFuel consumptionen
dc.subjectPower trainsen
dc.subjectSpeed controlen
dc.subjectAir quality managementen
dc.subjectAutomobiles--air qualityen
dc.subjectAutomobiles--fuel consumptionen
dc.subjectAutomobiles--power trainsen
dc.subjectAir qualityen
dc.subjectVehicle designen
dc.subjectEmissionen
dc.subjectEco-drivingen
dc.subjectEco-cruise controlen
dc.subjectPowertrain modelingen
dc.titlePredictive Eco-Cruise Control (ECC) System: Model Development, Modeling and Potential Benefitsen
dc.typeGovernment documenten
dc.type.dcmitypeTexten

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