The Research and Practice of Making Time Sequence of Urban Road Construction Based on Big Data - Taking Jinan as an Example

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.