Research on Construction and Operation Mode of Intelligent Transportation Systems

2012 ◽  
Vol 209-211 ◽  
pp. 683-687 ◽  
Author(s):  
Yong Kai Hu ◽  
Wei Wang ◽  
Hai Yan Gu ◽  
Jian Zhang ◽  
Li Li Qiao ◽  
...  

Intelligent Transportation Systems are highly integrated. Many government and business organizations are needed during the construction and operation process. In this paper, the task of construction and operation for ITS is discussed. Construction and operation mode is divided into government dominant mode, business dominant mode and mixed mode. These modes are compared with construction speed, information-sharing quality, service quality and economic benefits to analyze their applicability. This conclusion provides a reference for our ITS construction and operation mode selection.

2014 ◽  
Vol 587-589 ◽  
pp. 1780-1784
Author(s):  
Min Zhi Chen ◽  
Yong Kai Hu

Government departments of different areas are needed during the construction and operation process of intelligent transportation systems. So there is a contradiction that systems must be integrated but they need to be constructed and operated by different organizations. The division of the construction mission among different organization and the rules that all the joint members have to obey should be clear so that repetition and confliction in the whole system can be avoided. These modes of mission division are compared in this paper to provide a reference for our ITS construction and operation mode selection.


2020 ◽  
Vol 19 (11) ◽  
pp. 2116-2135
Author(s):  
G.V. Savin

Subject. The article considers functioning and development of process flows of transportation and logistics system of a smart city. Objectives. The study identifies factors and dependencies of the quality of human life on the organization and management of stream processes. Methods. I perform a comparative analysis of previous studies, taking into account the uniquely designed results, and the econometric analysis. Results. The study builds multiple regression models that are associated with stream processes, highlights interdependent indicators of temporary traffic and pollution that affect the indicator of life quality. However, the identified congestion indicator enables to predict the time spent in traffic jams per year for all participants of stream processes. Conclusions. The introduction of modern intelligent transportation systems as a component of the transportation and logistics system of a smart city does not fully solve the problems of congestion in cities at the current rate of urbanization and motorization. A viable solution is to develop cooperative and autonomous intelligent transportation systems based on the logistics approach. This will ensure control over congestion, the reduction of which will contribute to improving the life quality of people in urban areas.


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