CN114360243B - Comfort-based vehicle optimization method and system - Google Patents
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Abstract
Description
技术领域Technical Field
本发明涉及交通规划技术领域，尤其是涉及一种基于舒适性的车辆优化方法及系统。The present invention relates to the technical field of traffic planning, and in particular to a vehicle optimization method and system based on comfort.
背景技术Background Art
随着我国经济的快速发展，国民收入和生活水平不断提高，城市机动车保有量和居民出行量快速增长。人们为了追求更高的出行质量，对乘车的舒适性和及时性进行坚持不懈的改善，现有的评估乘车舒适度的数据处理一般是由人工实现的，即通过采集试乘人员试乘记录下的乘车感受信息，采用人工方式对大量乘车感受信息进行统计和分析，得出车辆的舒适度。With the rapid development of my country's economy, the national income and living standards are constantly improving, and the number of urban motor vehicles and residents' travel volume are growing rapidly. In order to pursue higher travel quality, people are constantly improving the comfort and timeliness of riding. The existing data processing for evaluating riding comfort is generally done manually, that is, by collecting the riding experience information recorded by test riders, manually counting and analyzing a large amount of riding experience information to obtain the vehicle's comfort.
然而，人工分析舒适度的方法具有较大的主观性且数据处理流程繁琐，处理效率不高，同时随着社会经济发展，人们更加追求高效、便捷、舒适的乘车体验，这需要从交通运营、支付、调度等各方面进行有效改善。However, the manual analysis method of comfort is highly subjective and the data processing process is cumbersome and inefficient. At the same time, with the development of social economy, people are more pursuing efficient, convenient and comfortable riding experience, which requires effective improvements in transportation operations, payment, scheduling and other aspects.
发明内容Summary of the invention
本发明的目的就是为了克服上述现有技术存在的缺陷而提供一种基于舒适性的车辆优化方法及系统。The purpose of the present invention is to provide a vehicle optimization method and system based on comfort in order to overcome the defects of the above-mentioned prior art.
本发明的目的可以通过以下技术方案来实现：The purpose of the present invention can be achieved by the following technical solutions:
一种基于舒适性的车辆优化方法，包括以下步骤：A vehicle optimization method based on comfort includes the following steps:
S1：获得待优化路段的路面数据和车辆在待优化路段行驶时的历史车辆数据；S1: Obtaining road surface data of the road section to be optimized and historical vehicle data of the vehicle when traveling on the road section to be optimized;
S2：提取不同速度下的历史车辆数据，根据历史车辆数据和路面数据获取不同速度下的客观舒适性的上限值和下限值；S2: extract historical vehicle data at different speeds, and obtain the upper and lower limits of objective comfort at different speeds based on the historical vehicle data and road surface data;
S3：获取车辆在待优化路段不同速度下行驶的乘客的历史主观舒适性数据；S3: Obtain historical subjective comfort data of passengers whose vehicles travel at different speeds on the road section to be optimized;
S4：将不同速度下的历史主观舒适性数据与客观舒适性的上下限值进行比对，获取待优化路段的最优速度范围；S4: Compare the historical subjective comfort data at different speeds with the upper and lower limits of objective comfort to obtain the optimal speed range of the road section to be optimized;
S5：获取行驶在待优化路段车辆的实时速度信息，根据最优速度范围对车辆速度进行提醒。S5: Acquire real-time speed information of vehicles traveling on the road section to be optimized, and remind the vehicle speed according to the optimal speed range.
优选地，所述的客观舒适度上限值为道路平整度均方差值：Preferably, the upper limit of the objective comfort level is the mean square error of road smoothness:
其中，
优选地，所述的客观舒适性的下限值为车辆的加权加速度有效值：Preferably, the lower limit of the objective comfort is the weighted acceleration effective value of the vehicle:
其中，aw为车辆的加权加速度有效值，awx为车辆的X轴加速度均方根值，awy为车辆的Y轴加速度均方根值，awz为车辆的Z轴加速度均方根值。Among them, a w is the effective value of the vehicle's weighted acceleration, a wx is the root mean square value of the vehicle's X-axis acceleration, a wy is the root mean square value of the vehicle's Y-axis acceleration, and a wz is the root mean square value of the vehicle's Z-axis acceleration.
优选地，所述的X轴加速度均方根值为：Preferably, the root mean square value of the X-axis acceleration is:
其中，K1为X轴的加权系数，T为振动统计时间，awx(t)为t时刻的X轴加速度；Among them, K1 is the weighting coefficient of the X-axis, T is the vibration statistical time, and a wx (t) is the X-axis acceleration at time t;
所述的Y轴加速度均方根值为：The root mean square value of the Y-axis acceleration is:
其中，K3为Y轴的加权系数，awy(t)为t时刻的Y轴加速度；Where K 3 is the weighting coefficient of the Y axis, a wy (t) is the Y axis acceleration at time t;
Z轴加速度均方根值为：The root mean square value of the Z-axis acceleration is:
其中，K3为Z轴的加权系数，awz(t)为t时刻的Z轴加速度。Where K 3 is the weighting coefficient of the Z axis, and awz (t) is the Z axis acceleration at time t.
优选地，所述的步骤S3通过MaaS系统统计乘客的主观舒适性反馈结果。Preferably, the step S3 collects statistics of passengers' subjective comfort feedback results through the MaaS system.
优选地，所述的步骤S4的具体步骤包括：Preferably, the specific steps of step S4 include:
S41：获取历史主观舒适性数据的不同速度的主观舒适性值；S41: Obtaining subjective comfort values at different speeds of historical subjective comfort data;
S42：根据主观舒适性值中低于客观舒适性下限值、属于客观舒适性上下限间、高于客观舒适性上限值的比例；S42: based on the proportion of subjective comfort values that are lower than the objective comfort lower limit, between the objective comfort upper and lower limits, and higher than the objective comfort upper limit;
S43：根据主观舒适性值的比例分布判断最优速度范围。S43: Determine the optimal speed range according to the proportional distribution of the subjective comfort values.
优选地，所述的步骤S43具体包括：Preferably, the step S43 specifically includes:
S431：对不同车速进行舒适性判定，判断主观舒适性值中高于客观舒适性上限值的比例是否大于第一阈值，若是，判定当前车速过高，否则进入步骤S432；S431: Perform comfort evaluation at different vehicle speeds to determine whether the proportion of subjective comfort values that are higher than the upper limit of objective comfort values is greater than a first threshold. If so, determine that the current vehicle speed is too high, otherwise proceed to step S432;
S432：判断主观舒适性值中低于客观舒适性下限值的比例是否大于第二阈值，若是，判定当前车速可提升，否则判定当前车速为合适车速；S432: determining whether the proportion of the subjective comfort values that are lower than the objective comfort lower limit value is greater than a second threshold value; if so, determining that the current vehicle speed can be increased; otherwise, determining that the current vehicle speed is an appropriate vehicle speed;
S433：重复步骤S431～S432至完成对不同车速判定，选取合适车速的范围为最优速度范围。S433: Repeat steps S431 to S432 until the determination of different vehicle speeds is completed, and a suitable vehicle speed range is selected as the optimal speed range.
优选地，所述的步骤S5具体包括：Preferably, the step S5 specifically includes:
获取行驶在待优化路段车辆的实时速度信息；Obtain real-time speed information of vehicles traveling on the road section to be optimized;
判断实时速度信息是否处于最优速度范围内，若超过最优速度范围则向所述车辆发送减速提醒，若低于最优速度范围则向所述车辆发送可提速提醒。It is determined whether the real-time speed information is within an optimal speed range. If it exceeds the optimal speed range, a deceleration reminder is sent to the vehicle. If it is below the optimal speed range, a speed-up reminder is sent to the vehicle.
优选地，所述的历史车辆数据包括在路段行驶时的X轴、Y轴和Z轴加速度及GPS信息数据。Preferably, the historical vehicle data includes X-axis, Y-axis and Z-axis acceleration and GPS information data when traveling on a road section.
一种基于舒适性的车辆优化系统，包括数据获取模块、客观舒适度计算模块、主观舒适度提取模块、最优速度范围获取模块、提醒模块，A vehicle optimization system based on comfort includes a data acquisition module, an objective comfort calculation module, a subjective comfort extraction module, an optimal speed range acquisition module, and a reminder module.
所述的数据获取模块用于获得待优化路段的路面数据和车辆在待优化路段行驶时的历史车辆数据，所述的历史车辆数据包括在路段行驶时的X轴、Y轴和Z轴加速度及GPS信息数据；The data acquisition module is used to obtain the road surface data of the road section to be optimized and the historical vehicle data of the vehicle when traveling on the road section to be optimized, wherein the historical vehicle data includes the acceleration of the X-axis, Y-axis and Z-axis and GPS information data when traveling on the road section;
所述的客观舒适度计算模块用于提取不同速度下的历史车辆数据，根据历史车辆数据和路面数据获取不同速度下的客观舒适性的上限值和下限值；The objective comfort calculation module is used to extract historical vehicle data at different speeds, and obtain the upper limit and lower limit of objective comfort at different speeds based on the historical vehicle data and road surface data;
所述的主观舒适度提取模块用于获取车辆在待优化路段不同速度下行驶的乘客的历史主观舒适性数据；The subjective comfort extraction module is used to obtain historical subjective comfort data of passengers whose vehicles travel at different speeds on the road section to be optimized;
所述的最优速度范围获取模块用于将不同速度下的历史主观舒适性数据与客观舒适性的上下限值进行比对，获取待优化路段的最优速度范围；The optimal speed range acquisition module is used to compare the historical subjective comfort data at different speeds with the upper and lower limits of objective comfort to obtain the optimal speed range of the road section to be optimized;
所述的提醒模块用于获取行驶在待优化路段车辆的实时速度信息，根据最优速度范围对车辆速度进行提醒。The reminder module is used to obtain real-time speed information of vehicles traveling on the road section to be optimized, and remind the vehicle speed according to the optimal speed range.
与现有技术相比，本发明具有如下优点：Compared with the prior art, the present invention has the following advantages:
(1)本发明能够有效获取车辆的车辆数据，基于车辆数据获取客观舒适度，并通过与主观舒适度进行对比判断，获取路段最优速度范围，对行驶车辆的速度进行指导优化，能够有效改善乘客的乘车舒适度，整体提升公共交通的出行满意度、提高公众绿色出行的良好体验，满足消费者的出行需求；(1) The present invention can effectively obtain vehicle data of vehicles, obtain objective comfort based on the vehicle data, and obtain the optimal speed range of the road section by comparing and judging with the subjective comfort, and guide and optimize the speed of the traveling vehicle, which can effectively improve the riding comfort of passengers, improve the overall travel satisfaction of public transportation, improve the good experience of public green travel, and meet the travel needs of consumers;
(2)本发明基于主观舒适性值与客观舒适性值的比例比对，准确对不同车速的舒适性进行判断，无需人工统计分析，有效提高优化效率，降低人工成本；(2) The present invention accurately judges the comfort of different vehicle speeds based on the ratio comparison of subjective comfort value and objective comfort value, without the need for manual statistical analysis, effectively improving optimization efficiency and reducing labor costs;
(3)本发明的客观舒适度上限值采用道路平整度均方差值，客观舒适性的下限值采用车辆的加权加速度有效值，能够准确高效的反映出车辆行驶舒适度情况，降低数据处理难度，提高优化准确性。(3) The upper limit of the objective comfort of the present invention adopts the mean square error of road smoothness, and the lower limit of the objective comfort adopts the effective value of the weighted acceleration of the vehicle, which can accurately and efficiently reflect the driving comfort of the vehicle, reduce the difficulty of data processing, and improve the optimization accuracy.
附图说明BRIEF DESCRIPTION OF THE DRAWINGS
图1为本发明的流程图。FIG. 1 is a flow chart of the present invention.
具体实施方式DETAILED DESCRIPTION
下面结合附图和具体实施例对本发明进行详细说明。注意，以下的实施方式的说明只是实质上的例示，本发明并不意在对其适用物或其用途进行限定，且本发明并不限定于以下的实施方式。The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. Note that the following embodiments are merely illustrative in nature, and the present invention is not intended to limit its applicable objects or uses, and the present invention is not limited to the following embodiments.
实施例1Example 1
一种基于舒适性的车辆优化方法，如图1所示，包括以下步骤：A vehicle optimization method based on comfort, as shown in FIG1 , comprises the following steps:
S1：获得待优化路段的路面数据和车辆在待优化路段行驶时的历史车辆数据，路面数据包括待优化路段的路面波长和路面幅值，由路面谱测量车预先测得。L的取值范围从0.1-100m，A的取值范围一般从1-200mm。历史车辆数据包括在路段行驶时的X轴、Y轴和Z轴加速度及GPS信息数据。S1: Obtain the road surface data of the section to be optimized and the historical vehicle data of the vehicle when driving on the section to be optimized. The road surface data includes the road surface wavelength and road surface amplitude of the section to be optimized, which are pre-measured by the road spectrum measurement vehicle. The value range of L is from 0.1-100m, and the value range of A is generally from 1-200mm. The historical vehicle data includes the acceleration of the X-axis, Y-axis and Z-axis and GPS information data when driving on the section.
S2：提取不同速度下的历史车辆数据，根据历史车辆数据和路面数据获取不同速度下的客观舒适性的上限值和下限值。具体地，上下限采用：S2: Extract historical vehicle data at different speeds, and obtain the upper and lower limits of objective comfort at different speeds based on the historical vehicle data and road surface data. Specifically, the upper and lower limits are:
客观舒适度上限值为道路平整度均方差值：The upper limit of objective comfort is the mean square error of road smoothness:
其中，
客观舒适性的下限值为车辆的加权加速度有效值：The lower limit of objective comfort is the effective value of the vehicle's weighted acceleration:
其中，aw为车辆的加权加速度有效值，awx为车辆的X轴加速度均方根值，awy为车辆的Y轴加速度均方根值，awz为车辆的Z轴加速度均方根值，进一步地，Wherein, a w is the effective value of the weighted acceleration of the vehicle, a wx is the root mean square value of the acceleration of the vehicle on the X axis, a wy is the root mean square value of the acceleration of the vehicle on the Y axis, and a wz is the root mean square value of the acceleration of the vehicle on the Z axis. Furthermore,
X轴加速度均方根值为：The root mean square value of the X-axis acceleration is:
其中，K1为X轴的加权系数，T为振动统计时间，awx(t)为t时刻的X轴加速度；Among them, K1 is the weighting coefficient of the X-axis, T is the vibration statistical time, and a wx (t) is the X-axis acceleration at time t;
所述的Y轴加速度均方根值为：The root mean square value of the Y-axis acceleration is:
其中，K3为Y轴的加权系数，awy(t)为t时刻的Y轴加速度；Where K 3 is the weighting coefficient of the Y axis, a wy (t) is the Y axis acceleration at time t;
Z轴加速度均方根值为：The root mean square value of the Z-axis acceleration is:
其中，K3为Z轴的加权系数，awz(t)为t时刻的Z轴加速度。Wherein, K 3 is the weighting coefficient of the Z axis, and awz (t) is the Z axis acceleration at time t.
S2获取不同速度的客观舒适度的上下限值，速度的取值可根据历史车辆数据中以10km/h为间隔选取速度为10km/h、20km/h、30km/h、40km/h……的速度，也可以1为间隔选取10km/h、11km/h、12km/h、13km/h……的速度。S2 obtains the upper and lower limits of the objective comfort at different speeds. The speed value can be selected from the historical vehicle data at intervals of 10km/h, 10km/h, 20km/h, 30km/h, 40km/h..., or can be selected from the intervals of 1, such as 10km/h, 11km/h, 12km/h, 13km/h...
S3：通过MaaS系统统计乘客的主观舒适性反馈结果，获取车辆在待优化路段不同速度下行驶的乘客的历史主观舒适性数据。S3: The subjective comfort feedback results of passengers are collected through the MaaS system to obtain the historical subjective comfort data of passengers traveling at different speeds on the road section to be optimized.
本实施例中MaaS系统包括核心业务层、业务支撑层及业务拓展层。其中核心业务层包括MaaS运营服务商、交通运营商、乘客、政府管理部门。业务支撑层包括ICT服务提供商、后端技术服务商、支付与身份认证服务商、出行配套服务商以及空间信息服务商。业务拓展层包括保险服务提供商及消费服务平台运营商。通过MaaS生态服务体系构建出整合多种运输模式的一体化出行服务体系，对乘客出行舒适性进行有效改善。In this embodiment, the MaaS system includes a core business layer, a business support layer, and a business development layer. The core business layer includes MaaS operating service providers, transportation operators, passengers, and government management departments. The business support layer includes ICT service providers, back-end technology service providers, payment and identity authentication service providers, travel supporting service providers, and space information service providers. The business development layer includes insurance service providers and consumer service platform operators. Through the MaaS ecological service system, an integrated travel service system integrating multiple transportation modes is constructed to effectively improve the comfort of passenger travel.
S4：将不同速度下的历史主观舒适性数据与客观舒适性的上下限值进行比对，获取待优化路段的最优速度范围；S4: Compare the historical subjective comfort data at different speeds with the upper and lower limits of objective comfort to obtain the optimal speed range of the road section to be optimized;
步骤S4的具体步骤包括：The specific steps of step S4 include:
S41：获取历史主观舒适性数据的不同速度的主观舒适性值；S41: Obtaining subjective comfort values at different speeds of historical subjective comfort data;
S42：根据主观舒适性值中低于客观舒适性下限值、属于客观舒适性上下限间、高于客观舒适性上限值的比例；S42: based on the proportion of subjective comfort values that are lower than the objective comfort lower limit, between the objective comfort upper and lower limits, and higher than the objective comfort upper limit;
S43：根据主观舒适性值的比例分布判断最优速度范围。S43: Determine the optimal speed range according to the proportional distribution of the subjective comfort values.
步骤S43具体包括：Step S43 specifically includes:
S431：对不同车速进行舒适性判定，判断主观舒适性值中高于客观舒适性上限值的比例是否大于第一阈值，若是，判定当前车速过高，否则进入步骤S432；S431: Perform comfort evaluation at different vehicle speeds to determine whether the proportion of subjective comfort values that are higher than the upper limit of objective comfort values is greater than a first threshold. If so, determine that the current vehicle speed is too high, otherwise proceed to step S432;
S432：判断主观舒适性值中低于客观舒适性下限值的比例是否大于第二阈值，若是，判定当前车速可提升，否则判定当前车速为合适车速；S432: determining whether the proportion of the subjective comfort values that are lower than the objective comfort lower limit value is greater than a second threshold value; if so, determining that the current vehicle speed can be increased; otherwise, determining that the current vehicle speed is an appropriate vehicle speed;
S433：重复步骤S431～S432至完成对不同车速判定，选取合适车速的范围为最优速度范围。S433: Repeat steps S431 to S432 until the determination of different vehicle speeds is completed, and a suitable vehicle speed range is selected as the optimal speed range.
本实施例中，如对某一车速V1进行舒适性判定，获取该车速V1的客观舒适性上限值
判断c是否大于C，若是判定当前车速V1过高，否则判断a是否大于A，若是，判断当前车速V1可提升，否则判断当前车速V1合适。对所有车速进行判断，选取合适车速组成最优速度范围。Determine whether c is greater than C. If so, the current speed V1 is too high. Otherwise, determine whether a is greater than A. If so, the current speed V1 can be increased. Otherwise, the current speed V1 is appropriate. All speeds are judged and appropriate speeds are selected to form the optimal speed range.
S5：获取行驶在待优化路段车辆的实时速度信息，根据最优速度范围对车辆速度进行提醒。判断实时速度信息是否处于最优速度范围内，若超过最优速度范围则向所述车辆发送减速提醒，若低于最优速度范围则向所述车辆发送可提速提醒。S5: Acquire the real-time speed information of the vehicle traveling on the road section to be optimized, and remind the vehicle speed according to the optimal speed range. Determine whether the real-time speed information is within the optimal speed range, and send a deceleration reminder to the vehicle if it exceeds the optimal speed range, and send a speed-up reminder to the vehicle if it is below the optimal speed range.
重复本发明的优化方法，可以继续获取历史数据对现有的最有速度范围进行优化，提高优化的效果。By repeating the optimization method of the present invention, historical data can be continuously obtained to optimize the existing optimal speed range, thereby improving the optimization effect.
实施例2Example 2
本发明还提供了一种基于舒适性的车辆优化系统，包括数据获取模块、客观舒适度计算模块、主观舒适度提取模块、最优速度范围获取模块、提醒模块，The present invention also provides a vehicle optimization system based on comfort, including a data acquisition module, an objective comfort calculation module, a subjective comfort extraction module, an optimal speed range acquisition module, and a reminder module.
数据获取模块用于获得待优化路段的路面数据和车辆在待优化路段行驶时的历史车辆数据，历史车辆数据包括在路段行驶时的X轴、Y轴和Z轴加速度及GPS信息数据；The data acquisition module is used to obtain the road surface data of the road section to be optimized and the historical vehicle data of the vehicle when traveling on the road section to be optimized, and the historical vehicle data includes the acceleration of the X-axis, Y-axis and Z-axis and GPS information data when traveling on the road section;
客观舒适度计算模块用于提取不同速度下的历史车辆数据，根据历史车辆数据和路面数据获取不同速度下的客观舒适性的上限值和下限值；The objective comfort calculation module is used to extract historical vehicle data at different speeds, and obtain the upper and lower limits of objective comfort at different speeds based on the historical vehicle data and road surface data;
主观舒适度提取模块用于获取车辆在待优化路段不同速度下行驶的乘客的历史主观舒适性数据；The subjective comfort extraction module is used to obtain historical subjective comfort data of passengers whose vehicles travel at different speeds on the road section to be optimized;
最优速度范围获取模块用于将不同速度下的历史主观舒适性数据与客观舒适性的上下限值进行比对，获取待优化路段的最优速度范围；The optimal speed range acquisition module is used to compare the historical subjective comfort data at different speeds with the upper and lower limits of objective comfort to obtain the optimal speed range of the road section to be optimized;
提醒模块用于获取行驶在待优化路段车辆的实时速度信息，根据最优速度范围对车辆速度进行提醒。The reminder module is used to obtain the real-time speed information of vehicles traveling on the road section to be optimized, and to remind the vehicle speed according to the optimal speed range.
本实施例公开的一种基于视觉识别的牲畜饮食监测系统与一种基于视觉识别的牲畜饮食监测方法对应，该实施例的实现方法请参考实施例1，在此不再赘述。The livestock diet monitoring system based on visual recognition disclosed in this embodiment corresponds to a livestock diet monitoring method based on visual recognition. Please refer to Example 1 for the implementation method of this embodiment, which will not be repeated here.
上述实施方式仅为例举，不表示对本发明范围的限定。这些实施方式还能以其它各种方式来实施，且能在不脱离本发明技术思想的范围内作各种省略、置换、变更。The above embodiments are merely examples and do not limit the scope of the present invention. These embodiments can also be implemented in various other ways, and various omissions, substitutions, and changes can be made without departing from the technical concept of the present invention.
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