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首页> 外文期刊>American Journal of Traffic and Transportation Engineering >The Research and Practice of Making Time Sequence of Urban Road Construction Based on Big Data - Taking Jinan as an Example
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The Research and Practice of Making Time Sequence of Urban Road Construction Based on Big Data - Taking Jinan as an Example

机译：基于大数据的城市道路施工制作时间序列的研究与实践 - 以济南为例

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摘要

Urban roads are an important support for promoting urban economic development, and the situation of urban traffic operation especially urban traffic congestion depends on whether the construction of road network is reasonable. With the rapid development of multi-source data, it provides quantitative data support for the scientific compilation of urban road construction plans. Based on urban planning, this paper analyzes the travel characteristics of residents based on mobile phone data, and combines the road congestion data and road speed data, and uses professional traffic models to fully predict the future situation of urban traffic, thereby drawing the necessity of different roads construction, while providing reverse corrections for transportation planning. It proposed a research on urban road construction planning based on multi-source big data, to promote the healthy and sustainable development of road construction and improve the efficiency of the road construction fund. Taking the road construction planning research of Jinan City as an example, construct the transportation model, based on the phone data, congestion data, public transport data, and traffic police bayonet data for verification, it show the applicability of big data technology in urban road construction planning and promotes the practice of big data technology in the transportation field.
机译：城市道路是促进城市经济发展的重要支持，城市交通运营的情况尤其是城市交通拥堵取决于道路网络的建设是否合理。随着多源数据的快速发展，它为城市道路建设计划的科学汇编提供了定量数据支持。基于城市规划，本文分析了基于移动电话数据的居民的旅行特征，并结合了道路拥堵数据和道路速度数据，并使用专业的交通模型完全预测城市交通的未来情况，从而借鉴了必要性不同的道路建设，同时为运输规划提供反向校正。它提出了基于多源大数据的城市道路建设规划研究，促进了道路建设的健康和可持续发展，提高了道路建设基金的效率。采用济南市的道路施工规划研究为例，构建运输模式，基于电话数据，拥塞数据，公共交通数据和交通警察刺刀数据进行验证，它展示了大数据技术在城市道路上的适用性建设规划与促进运输领域大数据技术的实践。

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