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    • 7. 发明授权
    • Vehicle management system
    • 车辆管理系统
    • US09053394B2
    • 2015-06-09
    • US13597911
    • 2012-08-29
    • David J. BruemmerR. Scott Hartley
    • David J. BruemmerR. Scott Hartley
    • G06F17/00B25J9/08G06K9/62G06K9/00G06F3/01
    • B25J9/1602B25J9/08B25J9/161B25J9/1633B25J9/1666B25J9/1684B25J9/1694B25J9/1697G01C21/34G06F3/016G06K9/00791G06K9/6293G06T11/206G08G1/22Y10S901/09Y10S901/10
    • A system and method to identify fuel consumption optimization based on reactive and deliberative components is described. Modifiable use conditions, such as speeding, excessive idling, gear selection, acceleration and deceleration profiles, which all represent opportunities for fuel savings, are identified and optimized for minimal fuel consumption based on a reactive interaction with the vehicle on a real-time basis. Deliberative analysis of historical data linked to a specific location or route is also conducted to arrive at a historical optimal fuel consumption profile. Similar historical fuel consumption profiles for the same route in question from other nearby vehicles are collected and analyzed to determined a more robust deliberative component of optimal fuel consumption. The reactive and deliberative components are optimized fuel consumption are merged to form a recommended profile for optimal fuel consumption.
    • 描述了基于反应和审议组件来识别燃料消耗优化的系统和方法。 基于与车辆的反应性交互实时地识别和优化用于节省燃料的机会的可更新的使用条件,例如超速,过度怠速,齿轮选择,加速和减速曲线,这些都代表燃料节省的机会。 还对特定位置或路线的历史数据进行了审议分析,以得出历史最优燃料消耗曲线。 收集和分析与其他附近车辆相同的相同路线的类似历史燃料消耗曲线,以确定更为有力的最佳燃油消耗的考虑因素。 反应和审议的组件被优化燃料消耗被合并以形成推荐的轮廓以获得最佳燃料消耗。
    • 8. 发明申请
    • Vehicle Management System
    • 车辆管理系统
    • US20130054125A1
    • 2013-02-28
    • US13597911
    • 2012-08-29
    • David J. BruemmerR. Scott Hartley
    • David J. BruemmerR. Scott Hartley
    • G06F17/00
    • B25J9/1602B25J9/08B25J9/161B25J9/1633B25J9/1666B25J9/1684B25J9/1694B25J9/1697G01C21/34G06F3/016G06K9/00791G06K9/6293G06T11/206G08G1/22Y10S901/09Y10S901/10
    • A system and method to identify fuel consumption optimization based on reactive and deliberative components is described. Modifiable use conditions, such as speeding, excessive idling, gear selection, acceleration and deceleration profiles, which all represent opportunities for fuel savings, are identified and optimized for minimal fuel consumption based on a reactive interaction with the vehicle on a real-time basis. Deliberative analysis of historical data linked to a specific location or route is also conducted to arrive at a historical optimal fuel consumption profile. Similar historical fuel consumption profiles for the same route in question from other nearby vehicles are collected and analyzed to determined a more robust deliberative component of optimal fuel consumption. The reactive and deliberative components are optimized fuel consumption are merged to form a recommended profile for optimal fuel consumption.
    • 描述了基于反应和审议组件来识别燃料消耗优化的系统和方法。 基于与车辆的反应性交互实时地识别和优化用于节省燃料的机会的可更新的使用条件,例如超速,过度怠速,齿轮选择,加速和减速曲线,这些都代表燃料节省的机会。 还对特定位置或路线的历史数据进行了审议分析,以得出历史最优燃料消耗曲线。 收集和分析与其他附近车辆相同的相同路线的类似历史燃料消耗曲线,以确定更为有力的最佳燃油消耗的考虑因素。 反应和审议的组件被优化燃料消耗被合并以形成推荐的轮廓以获得最佳燃料消耗。