| 摘要 |
A method and system for analyzing and improving driver and vehicle performance are described. Detailed vehicle data, including high frequency time series data, which was collected during a trip, is obtained, as well as external data regarding trip route and environment. Using the data and a model of the physics of the vehicle, driver and vehicle time series may be obtained for the trip. These time series may allocate fuel consumption to various factor costs relating to the driver (e.g., rate of acceleration, choice of gear) and to the vehicle (e.g., choice of engine, aerodynamic improvements). From trip simulations run with virtual drivers, an optimal (relative to some criterion) virtual driver (i.e., control choices) can be obtained. Simulations with the optimal driver can find an optimal vehicle from a set of virtual vehicles. Losses due to driver behavior and to vehicle configuration can be computed by comparisons, and alternatives suggested. |
