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Driver acceptance ratings were favorable.
For driver acceptance a fast restart of the engine must be guaranteed.
This study aimed at assessing driver acceptance of different ITS interventions designed to enhance driver behaviour at railway crossings.
In addition, it is required to calculate the desired acceleration in order to improve the driver acceptance and the vehicle safety.
Driver acceptance of these systems is crucial to their success, as perceived "nuisance" alarms may cause drivers to disable the systems.
The results indicated a significant increase in seat belt use from 81% to 96%, but ratings of driver acceptance were low, indicating poor acceptance.
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Drivers' acceptance is the most important consideration for RFS introduction and sustainable implementation.
Differences between the influences of attributes on drivers' acceptance should be considered when designing RFS implementation.
An extended Technology Acceptance Model captured drivers' acceptance of mitigation systems using four constructs: perceived ease of use, perceived usefulness, unobtrusiveness, and behavioral intention to use.
A two-stage optimization model is proposed, which describes the interplay between the government subsidy scheme and taxi drivers' acceptance of BEVs.
To quantify drivers' acceptance, a data-driven microsimulation model is used to simulate driving and charging activities based on GPS trajectory data collected from conventional gasoline taxis in Changsha, China.
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CEO of Professional Science Editing for Scientists @ prosciediting.com