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Many historical projects related to vehicle automation have been automated (made automatic) subject to a heavy reliance on artificial aids in their environment, such as magnetic strips. Autonomous control implies satisfactory performance under significant uncertainties in the environment, and the ability to compensate for system failures ...
vehicle-kilometre (vkm [1]) as a measure of traffic flow, determined by multiplying the number of vehicles on a given road or traffic network by the average length of their trips measured in kilometres. [2] vehicle-mile (vehicle miles traveled, or VMT [1]) same as before but measures the trip expressed in miles.
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In the US 49/563.5 regulatory framework, Event data recorder is defined as a . a device or function in a vehicle that records the vehicle's dynamic time-series data during the time period just prior to a crash event (e.g., vehicle speed vs. time) or during a crash event (e.g., delta-V vs. time), intended for retrieval after the crash event.
Two of the four modelling metholodogies in the shootout, one from North Carolina State University and one internal to the EPA, used vehicle-specific power metrics. [3] [4] MOVES was eventually implemented using vehicle-specific power as its primary metric. [4] (See Koupal et al. 2002, § 7.1.3.1 for the EPA MOVES draft VSP specification.)
Floating cellular data is one of the methods to collect floating car data. This method uses cellular network data ( CDMA , GSM , UMTS , GPRS ). No special devices/hardware are necessary: every switched-on mobile phone becomes a traffic probe and is as such an anonymous source of information.
Fuel consumption is a more accurate measure of a vehicle's performance because it is a linear relationship while fuel economy leads to distortions in efficiency improvements. [2] Weight-specific efficiency (efficiency per unit weight) may be stated for freight , and passenger-specific efficiency (vehicle efficiency per passenger) for passenger ...
The procedure involves instrumentation of the test vehicle to collect information while driving on the test road. There are two major types of data to be collected, Driver Behavior data and Vehicle versus Road data. The Vehicle versus Road data are used to prepare the road drive cycle and the Driver Behavior data to prepare the Driver model.