Big Data Transportation Systems by Zhao Guanghui;Zhu Gusheng;

Author:Zhao, Guanghui;Zhu, Gusheng;
Language: eng
Format: epub
Publisher: World Scientific Publishing Company
Published: 2021-08-15T00:00:00+00:00

8.3Big Data Transportation and Road Planning

The road planning involves the details of traffic planning. The route planning and network line planning start from the macro perspective, and explore the characteristics of regional planning through the capture of big data for large flow; while planning the road, we should focus on the details to solve the actual problems of the road.

8.3.1Disadvantages of traditional road planning

The traditional road planning often makes decisions through the rapid judgment of the design department based on experience and current situation. Usually, there is an experienced designer in the design institute as the leader, so it is easy to have the problem of personal will and team will in charge of operation. There are even smaller design units acting blindly and using “the copying means” to make road planning, which leads to more serious problems and completely does not fit the current needs of “Internet +” big data application.

A simple example best illustrates the problem:

An industrial park has been built in the north of a city. Every morning, vehicles will travel to the north of the city obviously, and at the same time, the number of vehicles returning from the north of the city at the end of work will increase significantly. This is the “tidal effect” in many cities. If according to the past design where the road is narrow, the variable road is insufficient, and the traffic lights cannot be intelligently adjusted according to the peak period, it is easy to cause serious traffic jams sooner or later, which can bring great trouble to the traffic managers.

Therefore, in the road planning, it is necessary to conduct preliminary research through the big data, such as using the pass-by information and traffic flow data collected by electronic police and video detector to find the rules of this section so as to make the road planning more reasonable.

For both the statistics of traffic vehicles and the environment around the road, the traditional planning has some disadvantages. For the road planning, it also needs to include the design of road space and landscape. Buildings, greenery, ground pavement, street facilities, outdoor advertising, landscape nodes, parking lots, lighting, and human activities, all belong to the surrounding environment of the road. In the past, the collection of these information often used manual observation, which led to limited data capture, simple data structure, and insufficient depth, and could not effectively provide data support for road planning and reconstruction.

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