地震的发生对交通路网的影响主要有两个方面，一是原有的交通路网遭到破坏，使交通路网的通行能力大大降低；二是地震突发事件发生后，受灾地区有大量的伤员需要运出接受救治，加上受灾地区由于救援工作需要大量资源，使路网的流量迅速提升。震后路网是这两种情况的叠加，极易发生严重堵塞现象。为避免和减少这种情况的发生，首先分析面向智慧城市和大数据环境下的协同供应效率系数的影响，构建考虑应急服务资源覆盖面最大和灾害损失最小的应急供应协同模型。其次，在分析应急车辆平均行程速度、路段饱和度、占有率和排队长度比等约束条件的基础上，构建震后应急交通路网协同优化模型。最后案例验证了所提出的协同优化模型的有效性。研究成果将对应急交通控制和管理实践提供理论依据和解决方案。

An earthquake often has impact on a traffic network from two aspects. The first one is a wide damage of theexisting transportation network which would decrease traffic capacity dramatically and cause frequent traffic congestions, and the second one is a soaring demand of transportation to deliver a great deal of injured people to other undamaged areas in a short time and to import many emergent resources to the damaged areas. Accumulation of above impact would worsen transportation reliability and reduce transportation capability of the traffic network. In order to avoid those adversities, based on recognizing traffic network properties under emergency conditions after an earthquake, a framework of emergency service resource supply and supply problems of emergency service resources after earthquakes are considered in this paper. An Emergent Transportation Collaboration Network (ETCN) is presented, which consists of a collection center of emergent service resources, a transit center of emergent service resources and distribution center of emergent service resources. All emergent activities in ETCN are classified into three working stages, and a Collaboration Supply Efficiency (CSE) coefficient to describe their relationships is introduced. Based on ECTN and CSE coefficients, an Emergent Supply Collaboration Model (ESCM) is developed, whose objectives are to maximize coverage area of emergent service resources and to minimize disaster loss. In order to ensure supplying emergent service resources and avoiding traffic congestions, a collaboration optimization model of emergent traffic network after earthquake is further developed from ESCM considering constraints of average transportation speed of emergency vehicles, road saturation, occupation ratio and queue length. Then, it is discussed that the changing principle of occupation ratio and queue length by variation of transportation speed of vehicles under emergencies. In the end, a case study is applied to testify a collaboration optimizationto ensure supplying emergent service resources. A numerical example demonstrates the proposed model is effective and the improved algorithmis efficient.This paper would be a theoretical base and potential practice solution for emergency traffic control and management.