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首页> 外文期刊>Promet-traffic & transportation >MODEL FOR CALCULATING AVERAGE VEHICLE MILEAGE FOR DIFFERENT VEHICLE CLASSES BASED ON REAL DATA: A CASE STUDY OF CROATIA
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MODEL FOR CALCULATING AVERAGE VEHICLE MILEAGE FOR DIFFERENT VEHICLE CLASSES BASED ON REAL DATA: A CASE STUDY OF CROATIA

机译：基于真实数据的不同车类平均车距计算模型：以克罗地亚为例

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Podaci o prijeđenim kilometrima dobiveni putem upitnika, izvještaja servisa i sličnih izvora temelje se na procjeni i znatno se razlikuju od stvarnih podataka. Podaci o prosječnoj kilometraži koriste se za izračun emisija, a trebaju biti što točniji kako bi i konačni emisijski model bio pouzdaniji. U Hrvatskoj se stanje putomjera očitava jednom godišnje za vrijeme obavljanja redovnog tehničkog pregleda vozila. Analizirani su podaci stanja putomjera vozila do 20 godina starosti za 2017. godinu. Vozila su razvrstana prema masi praznog vozila i vrsti pogonskog goriva. Podjela prema ovim kriterijima obuhvatila je slične navike vozača kao i svrhu upotrebe tih vozila. Stvarni podaci o stanju putomjera pokazuju kako vozila u Hrvatskoj prelaze znatno više kilometara u razdoblju nakon 10 godina starosti uspoređujući ih s po-đacima dobivenim iz drugih istraživanja. Istraživanje je rezultiralo mode/om za izračun prosječne prijeđene kilometraže vozila. Model je prikladan za upotrebnu u raznim analizama za Hrvatsku te zemlje sa sličnim voznim navikama i ekonomskim statusom trenutno i u nadolazećim godinama.%Mileage data collected via surveys based on self-estimation, reports from garages and other sources which use estimations are rough estimates and differ greatly from the actual mileage. Vehicle mileage is a major factor in emission calculations and needs to be as accurate as possible to obtain reliable emission models. Odometer readings are collected annually at the periodic technical inspection in Croatia. Average mileage data were analyzed for vehicles up to 20 years of age in 2017. Vehicles were classified by curb weight and fuel type. Such classification proved to follow driver behavior and the intended purpose of the vehicle. For each vehicle class the model was applied using vehicle age and population size as inputs for calculating average mileage. Real data show that vehicles in Croatia considerably exceed the estimated mileage in the years following the first registration of the vehicle and that they cannot be compared to data collected in other studies based on estimations. The difference lies in the covered mileage after vehicles reach ten years of age. The outcome of this study has resulted in a model for calculating average vehicle mileage. The model is suitable for use in various analyses for Croatia or for countries with similar driving habits and economic status now and for years to come.
机译：通过调查表，服务报告和类似来源获得的里程数据基于估计，与实际数据有很大差异。平均里程数据用于计算排放，并且应尽可能准确，以使最终排放模型更可靠。在克罗地亚，每年对车辆进行定期技术检查时都会读取里程表的状况。分析了2017年20岁以下车辆的路表状况数据。车辆根据空车的重量和燃料类型进行分类。根据这些标准进行的划分包括类似的驾驶员习惯以及使用这些车辆的目的。公路表状况的实际数据表明，克罗地亚的车辆在10岁以后的这段时间内行驶的里程大大增加，并将其与从其他调查中获得的数据进行了比较。研究得出了一种用于计算车辆平均行驶里程的模式。该模型适用于克罗地亚以及当前和未来几年具有类似驾驶习惯和经济状况的国家的各种分析。％里程数据是基于自我估计，车库报告和其他来源的调查收集的大大超过了实际里程。车辆里程是排放计算中的主要因素，需要尽可能准确才能获得可靠的排放模型。克罗地亚每年都会通过定期技术检查收集里程表的读数。 2017年对20岁以下车辆的平均里程数据进行了分析。车辆按路缘重量和燃料类型分类。这种分类证明符合驾驶员的行为和车辆的预期用途。对于每种车辆类别，均使用车辆年龄和人口数量作为输入模型来计算平均里程。实际数据显示，克罗地亚的车辆在首次注册后的几年中大大超过了估算的行驶里程，因此无法将其与其他基于估算的研究中收集的数据进行比较。区别在于车辆达到十年后的覆盖里程。这项研究的结果产生了一个用于计算平均车辆行驶里程的模型。该模型适用于克罗地亚或现在和未来几年具有类似驾驶习惯和经济状况的国家的各种分析。

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