使用车辆远程信息技术绘制城市移动的地图,以了解驾驶行为
Junjun Xiang1, Omid Ghaffarpasand1, Francis D Pope2
1School of Geography, Earth, and Environmental Sciences, University of Birmingham, Birmingham, UK.
Scientific reports
|February 8, 2024
概括
远程数据显示了像动和加速这样的驾驶行为. 攻击性驾驶与车辆道路占用率有关,突出了需要改善安全的领域.
科学领域:
- 运输工程 运输工程
- 道路安全分析 道路安全分析
- 城市流动研究 城市流动研究
背景情况:
- 来自车载车辆设备 (OBD) 的远程数据为驾驶行为提供了洞察力.
- 了解城市移动模式对于交通管理和道路安全至关重要.
- 现有的方法可能缺乏空间和时间分辨率来捕捉细微的驾驶动态.
研究的目的:
- 开发和应用一种新的方法,即城市流动的地理空间和时间映射 (GeoSTMUM),用于分析远程数据.
- 将未处理的远程数据转换为有意义的驾驶指标,包括车辆空头,巡航,加速和减速.
- 通过使用远程数据进行道路安全评估来参数化驾驶波动性和攻击性.
主要方法:
- 从车载车辆设备 (OBD) 中使用的远程数据在西米德兰,英国城市地区.
- 应用 GeoSTMUM 方法来推导驾驶指标和评估驾驶行为.
- 采用两种方法来定义激进驾驶:车辆冲动和速度加速度配置文件.
- 实现了高空间 (15-150米) 和时间 (2小时) 的分辨率,用于详细分析.
主要成果:
- 在GeoSTMUM方法成功地将远程数据转换为可量化的驾驶指标.
- 识别了道路段,其中有很高的侵略性驾驶行为潜力.
- 车辆道路占用率和侵略性驾驶模式之间存在强烈的相关性.
- 提供了有关驾驶波动性和攻击性的见解,这是道路安全的关键因素.
结论:
- 基于远程通信的GeoSTMUM方法提供了一种高分辨率的方法来了解城市驾驶行为.
- 这些发现可以为高风险地区的道路安全措施的有针对性实施提供信息.
- 该研究强调了道路上的车辆存在和侵略性驾驶之间的关系,这表明对交通流量管理的影响.
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