Intelligent Vehicle Technologies

Finding 5-11. In general, intelligent vehicle technologies provide fuel consumption reductions by taking advantage of knowledge of the vehicle’s location, terrain in the vicinity of the vehicle, congestion, location of leading vehicles, historical traffic data, and so forth, and altering the speed of the vehicle, the route the vehicle travels, or, in the case of hybrid electric vehicles, altering the power split ratio. This fuel savings may not show up in any fuel consumption test.

Finding 5-12. A number of the technologies—adaptive cruise control, predictive cruise control, and navigation and route optimization—are being applied by the trucking industry without any regulation because the owners and operators view the reduction in fuel costs as good business.

Finding 5-13. Based on experiments to date, the electronic tow bar concept of trucks traveling closely spaced in tandem can provide significantly lower fuel consumption, 8 percent to 15 percent, compared with the same vehicles traveling separately.


Al-Qadi, I. 2007a. New generation of wide-base tire and its impact on trucking operations, environment, and pavements. Transportation Research Board 86th Annual Meeting, Paper No. 07-2432, January 21-25, Washington, D.C.

Al-Qadi, I. 2007b. Impact of wide-based tires on pavement and trucking operation. Presented at the International Workshop on the Use of Wide-Base Tires, Federal Highway Administration, Turner-Fairbank Highway Research Center, October 25-26, McLean, Virginia.

Bachman, L., A. Erb, and C. Bynum. 2005. Effect of single wide tires and trailer aerodynamics on fuel economy and NOx emissions of Class 8 line-haul tractor-trailers. SAE Paper 2005-01-3551. Warrendale, Pa.: SAE International.

Bachman, L., A. Erb, B. Anthony, C. Bynum, B. Shoffner, H. De La Fuente, and C. Ensfield. 2006. Fuel economy improvements and NOx reduction by reduction of parasitic losses: Effect of engine design. SAE Paper 2006-01-3474. Warrendale, Pa.: SAE International.

Baker, H., R. Cornwell, E. Koehler, and J. Patterson. 2009. Review of Low Carbon Technologies for Heavy Goods Vehicles. Prepared by Ricardo for the U.S. Department of Transportation. RD.09/18261.6. June.

Bennett, S. 2008. Smart routing to save fuel. Light & Medium Truck Magazine. August.

Bonnet, C., and H. Fritz. 2000. Fuel consumption reduction in a platoon: Experimental results with two electronically coupled trucks at close spacing. SAE Paper 2000-01-3056. Warrendale, Pa.: SAE International.

Bradley, C., and S. Nelson. 2009. Truck Tires and Rolling Resistance: Modeling and Impact on Fuel Consumption. Presentation by Michelin Tire North America to the committee, February 4.

Bradley, M.J., and Associates LLC. 2009. Setting the Stage for Regulation of Heavy-Duty Vehicle Fuel Economy and GHG Emissions: Issues and Opportunities. Washington, D.C.: International Council on Clean Transportation. February.

Browand, F., J. McArthur, and C. Radovich. 2004. Fuel Savings Achieved in the Field Test of Two Tandem Trucks. California PATH Research Report UCB-ITS-PRR-2004-20.

Capps, G., O. Franzese, B. Knee, M.B. Lascurain, and P. Otaduy. 2008. Class-8 Heavy Truck Duty Cycle Project Final Report. Report No. ORNL/TM-2008/122. Oak Ridge, Tenn.: Oak Ridge National Laboratory. December.

CARB (California Air Resources Board). 2008. Final Regulation Order to Reduce Greenhouse Gas Emissions from Heavy-Duty Vehicles. Available at

Caterpillar. 2006. Understanding Tractor-Trailer Performance. Brochure. Available at Peoria, Ill.: Caterpillar.

CIA (Central Intelligence Agency). 2007. CIA World Fact Book.

Cooper, K. 2004. Commercial vehicle aerodynamic drag reduction: Historical perspective as a guide. Pp. 9-28 in The Aerodynamics of Heavy Vehicles: Trucks, Buses, and Trains (R. McCallen, F. Browand, and J. Ross, eds). New York: Springer.

DOE (U.S. Department of Energy). 2006. 21st Century Truck Partnership Roadmap and Technical White Papers. Doc. No. 21CTP-003. Washington, D.C.: DOE. December.

DOE. 2008. Areas of Loss in Typical On-Highway Vehicles, and/or Review. Washington, D.C.: DOE.

ECD (European Council Directive 89/297/EEC). 1989 Underride Protection for Unprotected Road Users. April13. Available at

Englar, R. 2005. The application of pneumatic aerodynamic technology to improve drag reduction, performance, safety, and control of advanced automotive vehicles. Proceedings of the 2004 NASA/ONR Circulation Control Workshop, Part 2, pp. 957-995. June. Available from

EPA (U.S. Environmental Protection Agency). 2009. Websites for the EPA SmartWay Program, including (accessed 13/09/09) and (accessed September 13, 2009).

FleetOwner. 2009. Superlight trucks are coming. FleetOwner Web Magazine. June 25. Available at

Fritz, H. 1999. Longitudinal and lateral control of heavy duty trucks for automated vehicle following in mixed traffic: Experimental results from the CHAUFFEUR Project. Proceedings of the 1999 IEEE International Conference on Control Applications. Kohala Coast-Island of Hawaii, State of Hawaii, August.

Fritz, H., A. Gern, H. Schiemenz, and C. Bonnet. 2004. CHAUFFEUR Assistant—A Driver Assistance System for Commercial Vehicles Based on Fusion of Advanced ACC and Lane Keeping. IEEE 2004 Intelligent Vehicles Symposium. Parma, Italy. June.

Goodyear (Goodyear Tire and Rubber Company). 2003. Radial Truck Tire and Retread Manual. Manual No. 700-862-932-505.

Hellstrom, E., M. Ivarsson, J. Aslund, and L. Nielson. 2007. Look Ahead Control for Heavy Trucks to Minimize Trip Time and Fuel Consumption. Presented at the Fifth IFAC (International Federation of Automatic Control) Symposium on Advances in Automotive Control, Aptos, Calif., August 20-22.

Hendricks, T., and M. O’Keefe. 2002. Heavy Vehicle Auxiliary Load Electrification for the Essential Power System Program: Benefits, Tradeoffs, and Remaining Challenges. Golden, Colo.: National Renewable Energy Laboratory.

IFEU (Institut für Energieund Umweltforschung, Heidelberg GmbH). 2003. Energy Savings by Lightweighting. Heidelberg, Germany: IFEU.

Johannesson, L., M. Asbogard, and B. Egardt. 2007. Assessing the potential of predictive control for hybrid vehicle powertrains using stochastic dynamic programming. IEEE Transactions on Intelligent Transportation Systems, Vol. 8, No. 1. March.

Kenworth. 2008. White paper on fuel economy. Paper No. WP-FE08. Kenworth Truck Company. August. Available at

Kessels, J. 2007. Electronic Horizon: Energy Management Using Telematics Information. Presented at the IEEE 2007 Vehicle Power and Propulsion Conference, September.

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