Research On Post-Disaster Restoration Strategy Of Urban Road Traffic Network Based On Resilience Optimization Model

As an important component of urban key infrastructure systems,road traffic networks have great significance for social and economic development.However,due to the uncertainty of the spatiotemporal characteristics of disasters in the road traffic network,it is not yet possible to achieve complete pre disaster prevention,nor to completely eliminate the vulnerability and damage consequences of the transportation system.Therefore,in the event of major disturbances,improving the ability of road traffic systems to quickly recover and maintain predetermined functions from disturbances has important practical significance.As an important component of disaster risk management,road network system resilience can comprehensively reflect the ability of the transportation system to absorb interference and recover from it under disturbance events.It can not only measure the vulnerability of different stages of disasters,but also dynamically evaluate the system recovery effect during the recovery stage.It has the advantages of rich content and comprehensive evaluation.Based on this,this study will take the urban road traffic network after a disaster as the research object,and take the preliminary rehabilitation period after a disaster as the research time domain.It will build a resilience evaluation model for the road traffic network system,and guide the post-disaster rehabilitation work arrangement with the results of the resilience evaluation,to build a rehabilitation decisionmaking model based on the optimal resilience.The main research work is as follows:(1)A toughness evaluation model for urban road traffic network systems is proposed.Starting from the recovery process,the road network resilience is described as the cumulative road network performance within the duration of the disaster impact,and a dynamic time dimension is introduced to propose a dynamic road network resilience index.Starting with the recovery results,a recovery speed index that depends on the recovery duration and recovery results is proposed to describe the ability of the road network to recover from disturbances.The resilience of the road network system is comprehensively reflected through the road network resilience index and the recovery speed index,and an example analysis is carried out.(2)Two types of mixed daily variable user assignment models are proposed.After a disaster occurs,the road network is in a dynamic and unbalanced state.Assuming that the elasticity of traffic demand changes and the traffic flow changes in units of days,and in order to analyze the impact of post disaster travel information on the resilience of the road network,in the context of only considering travel information provided by ATIS,the travel user group is divided into ATIS users and ordinary users,taking into account the differences in their path selection behavior patterns,A mixed daily varying dynamic traffic assignment model for two types of users considering cognitive updates and behavioral inertia is constructed.An ATIS information prediction method based on historical traffic is proposed,and a model solving algorithm is designed.(3)A decision model for disaster recovery based on optimal resilience is proposed.The arrangement of road network repair work mainly involves the selection of the repaired road sections and the prioritization of the repaired road sections.Maximizing the resilience and recovery speed of the road network is regarded as a dual objective optimization.With the number of repair teams and the repair time limit as constraints,a road network recovery model that updates the traffic capacity of the road network every day is established,and a daily variable flow distribution model is used to describe the flow distribution.In this way,a disaster road network repair decision-making model based on the optimal resilience is constructed,and corresponding solving algorithms are designed based on adaptive genetic algorithms.The analysis of numerical examples shows that the road network toughness index and recovery speed index can comprehensively reflect the performance loss and recovery effect of the road network under disturbance,and effectively evaluate the resistance and recovery ability of the road network;Compared with other repair strategies,the effectiveness and superiority of the optimal repair decision model are verified.