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首页> 外文会议>Annual meeting of the transportation research board;Transportation Research Board >Prediction of Drivers' Speed Behaviour on Rural Motorways Based on an Instrumented Vehicle Study
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Prediction of Drivers' Speed Behaviour on Rural Motorways Based on an Instrumented Vehicle Study

机译：基于仪表车研究的农村高速公路驾驶员速度行为预测

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Several existing studies developed operating speed prediction models. Most of the existing models arebased on spot speed data, collected by radar guns, pavements sensors and similar. Unfortunately, thesecollecting data methods force to assume some invalid assumptions in driver behaviour modeling:constant operating speed throughout the horizontal curves and occurrence of acceleration anddeceleration only on tangents. In this study an instrumented vehicle with a GPS continuous speedtracking was used to analyze driver’s behaviour in terms of speed choice and deceleration/accelerationperformances and to develop operating speed prediction models. The data used in the study were froma field experiment conducted in Italy on the rural motorway A16 (Naples-Avellino).We developed models to predict operating speed in curves (V_(85c)) and in tangents (V_(85t)),deceleration (d) and acceleration (a) rates to be used in the operating speed profiles, starting (SP/L_c)and ending (EP/L_c) points of constant operating speed in curve, 85~(th) percentile of the deceleration (d_(85))and acceleration (a_(85)) rates of the individual drivers, and 85~(th) percentile of the maximum speedreduction in the tangent to curve transition experienced by individual drivers (Δ_(85)V).As far as drivers’ behaviour, study results show that (a) drivers’ speed is not constant alongthe curves, (b) maximum speed reduction experience by individual drivers is greater than the operatingspeed difference in the tangent-to-curve transition, and © deceleration and acceleration ratesexperienced by the individual drivers are greater than deceleration and acceleration rates used to drawthe operating speed profiles.
机译：现有的一些研究开发了运行速度预测模型。大多数现有模型是 基于由雷达测速仪，路面传感器等收集的现场速度数据。不幸的是，这些 收集数据方法强制在驾驶员行为建模中假设一些无效的假设： 在整个水平曲线上保持恒定的运行速度，并出现加速度和 仅在切线上减速。在这项研究中，具有GPS连续速度的仪表车辆 跟踪用于分析驾驶员在速度选择和减速/加速方面的行为 性能并开发运行速度预测模型。研究中使用的数据来自 在意大利对乡村高速公路A16（那不勒斯-阿韦利诺）进行的现场实验。 我们开发了模型来预测曲线（V_（85c））和切线（V_（85t））的运行速度， 起动时在运行速度曲线中使用的减速度（d）和加速度（a）（SP / L_c） 曲线上恒定运行速度的终点和终点（EP / L_c），减速度的85％（th）（d_（85）） 各个驱动器的加速度和（a_（85））速率，以及最大速度的85％（th） 减少单个驱动器经历的切线到曲线过渡（Δ_（85）V）。 就驾驶员的行为而言，研究结果表明（a）驾驶员的速度在 曲线，（b）单个驾驶员的最大减速体验大于行驶中的 切线到曲线过渡的速度差，以及©减速和加速率 单个驾驶员的经验大于用于绘制的减速度和加速速度 运行速度配置文件。

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