The Quality of Floating Car Data Benchmarked: An Alternative to Roadside Equipment?
The Quality of Floating Car Data Benchmarked: An Alternative to Roadside Equipment?
复制标题
浮动汽车数据质量基准：路边设备的替代品？
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Peter Krootjes
中科院分区：
文献类型：
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作者：
G. D. Boer;Peter Krootjes
交通拥堵给我们所有人带来不便，导致全球企业损失数十亿美元，并在二氧化碳排放和燃料消耗增加方面对环境产生不利影响。浮动汽车数据（FCD）可以在哪些领域帮助道路管理部门和政策制定者更好地了解当前情况，并在最需要改进的道路上采取行动？本文介绍了荷兰政府（NDW）进行的独立研究，将TomTom浮动汽车数据库中的历史行程时间与固定ANPR系统以及高精度参考系统进行了比较。研究结果表明，TomTom的FCD是准确的，对大量的交通管理应用非常有用。该研究间接揭示了FCD的弱点，当来自“错误的来源”（例如商业车队）或样本量太小（例如平均驾驶测试）时。
Traffic congestion is an inconvenience for all of us, leading to the loss of billions of dollars for businesses worldwide and has an adverse effect on the environment in terms of carbon dioxide (CO2) emissions and increased fuel consumption. In what fields can Floating Car Data(FCD) help road authorities and policymakers to develop a better understanding of the current situation and take action on those roads where the need for improvement is highest? This paper describes independent research conducted by the Dutch Government (NDW) where historic travel times from TomTom’s floating car database are compared to fixed ANPR systems as well as highly accurate reference systems. The outcome of the research indicates that TomTom’s FCD is accurate and highly useful for a large numbers of traffic management applications. The study indirectly reveals the weaknesses of FCD when derived from the “wrong sources” (e.g. commercial fleets) or with a sample size that is too small (such as average drive tests).