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major factor as are several controls that are under the manual control of the driver.
However, this is changing and in the near future most climate control features operated
by the driver will migrate to a control system for driver convenience and to meet new
Corporate Average Fuel Economy (CAFÉ) standards.
References
1. Argonne National Laboratory (N.D.). Argonne TTRDC - Modeling, Simulation & Software
- PSAT. Transportation Technology R&D Center,
http://www.transportation.anl.gov/modeling_simulation/PSAT/
index.html (retrieved October 21, 2011)
2. Belton, C., Bennett, P., Burchill, P., Copp, D., Darnton, N., Che, J., et al.: A Vehicle Model
Architecture for Vehicle System Control Design. In: 2003 SAE World Congress. SAE
Technical Paper Series. SAE International, Detroit (2003)
3. Jennings, M., Brigham, D., Meng, Y., Bell, D.: A Comparitive Analysis Methodology for
Hybrid Electric Vehicle Concept Assessment. In: 2004 SAE World Congress. SAE Interna-
tional, Detroit (2004)
4. Meng, Y.J.: Test Correlation Framework for Hybrid Electric Vehicle System Model. In:
2011 SAE World Congress. SAE International, Detroit (2011)
5. PTV AG, VISSIM 5.20 User Manual. D-76131. Planung Transport Verkehr AG, Karlsruhe
(2009)
6. Tomer, T.: Integrated Driving Behavior Modeling. Department of Civil and Environmental
Engineering, MIT, Boston (2003)
7. Weidemann, R.: Simulation des Straßen-verkehrsflusses. Heft 8: Schriftenreihe des Instituts
für Verkehrswesen der Universität Karlsruhe (1974)
8. Weidemann, R.: Modeling of RTI-Elements on multi-lane roads. In: Advanced Telematics
in Road Transport Edited by the Commission of the European Community. Commission of
the European Community, DG XIII, Brussels (1991)
 
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