Resilience Monitoring Method Of Urban Road Network Based On Multi-source Data

With the continuous expansion of urban scale,the traffic mode is becoming more and more diversified.The urban traffic network is fragile under the external impact and disturbance,and the threat of urban traffic system is becoming more and more serious.At present,the road network of big cities has been basically formed,and large-scale complex road network is difficult to change from its essence.The new generation of intelligent transportation and artificial intelligence technology has gradually focused on the field of road network operation monitoring and emergency response.Based on multi-source data,this paper proposes a method for resilience monitoring of urban road network which is suitable for daily situations,then identifies abnormal events and weak points in the road network.Firstly,this paper introduces the multi-source data represented by geographic information system data,automatic vehicle identification data and global positioning system data in detail from the aspects of data characteristics,data acquisition and processing methods.According to different data types,this paper expounds the simulation method of fusing multi-source data,which provides data support for the research of urban road network resilience state monitoring method.Secondly,the topological structure of urban road network is analyzed.Considering the network structure performance indexes such as node degree,network efficiency and the dynamic characteristics of road network traffic flow,a road network resilience evaluation index is constructed,which can comprehensively evaluate the whole process of road network performance degradation and recovery under the influence of disturbance events.Thirdly,this paper introduces the monitoring method of urban road network resilience.Using road network resilience monitoring,on the one hand,it studies and judges the trend of urban road network resilience state,and uses historical data as reference to identify whether the road network is affected by abnormal disturbance by calculating Mahalanobis distance;on the other hand,it establishes link importance index from optimistic and pessimistic perspectives respectively,and calculates the relative increase value of road network resilience when the road section is not disturbed and the road network resilience when the road section is completely interrupted.The relative loss value of resilience is used to identify the weak points of resilience which change dynamically with time in the road network.Finally,the case network in Shenzhen is analyzed.Combined with AVI data and GPS data as the input flow,VISSIM is used to simulate the operation state of normal road network and damaged road network.After the operation parameters are obtained,whether there is disturbance in the road network and the location of weak points in the road network are identified by resilience monitoring,which verifies the feasibility of the proposed method.