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The Nexus vehicle was designed and built for Transport Canada at the University of Saskatchewan to demonstrate that a safety compliant single passenger commuter vehicle could attain extremely low fuel consumption rates at modest highway speeds. Experimentally determined steady state fuel consumption rates of the Nexus prototype ranged from 1.6 L/100 km at 61 km/hr up to 2.8 L/100 km at 121 km/hr. Fuel consumption rates for the Society of Automotive Engineers (SAE) driving cycle tests were 4.5 L/100 km for the SAE Urban cycle and 2.0 L/100 km for the SAE Interstate 55 cycle. The efficiency of the power train was determined using a laboratory dynamometer, enabling the road test results to be compared to the results from an energy and performance simulation program. Predicted fuel economy was in good agreement with that determined experimentally. Widespread use of single passenger commuter vehicles would substantially reduce current transportation energy consumption.

An experimental program was conducted to verify the reduction in fuel consumption achievable with aerodynamic improvements to intercity buses. Wind tunnel model tests were used to develop effective aerodynamic improvements and full-scale road tests to validate the results. Greyhound Lines coach models MC-7 and MC-8 were tested with head- and crosswinds. Aerodynamic drag of the MC-7 was reduced 17 percent at zero yaw. Drag of the MC-8 initially was higher; it was reduced 27 percent at zero yaw by the best fairing. Both low-drag configurations were less sensitive to crosswinds than the original models; significant drag reduction was maintained to 15 degrees yaw angle. Fuel consumption measurements made with aerodynamic fairings installed on an MC-7 showed that the low-drag bus used 11.7 percent less fuel at a steady 55 mph. The cost of the full-scale modifications was estimated at $ 1,500 each for a retrofit kit and no added cost to produce on new vehicles.

This paper describes sensors and systems developed, or under development, by researchers at Purdue University including: an automated soil nutrient mapping system; a real-time acoustic soil texture sensor; an improved, real-time soil organic matter (SOM) sensor; a real-time soil compaction sensor; and an animal manure application monitoring and control system. Issues to consider for sensor use and development, criteria for evaluating the potential for successful sensor implementation, and likely future sensors for site-specific crop management (SSCM) are also discussed.