本项目针对车载自组织网络中路侧单元的优化部署和调度问题，系统研究不同道路场景、车辆密度分布和移动性模型、用户业务分布和服务质量要求条件下的路侧单元优化部署理论和方法，分别提出以成本最小化以及传输容量、接入延迟和网络连通度等性能最优化为设计目标的优化部署模型及其高效优化算法，并研究和提出RSU最大部署间距理论估算模型。在研究RSU优化部署的基础上，进一步研究不同用户业务量需求和服务质量要求对工作路侧单元数目及其能耗的影响，提出在满足用户业务量需求和延迟要求条件下路侧单元的节能优化休眠调度模型以及高能效自适应休眠调度机制，并研究和提出RSU自适应调度机制的能量与延时定量分析模型。通过本项目的研究，力图在车载自组织网络路侧单元的优化部署与调度理论和方法方面取得一些突破性进展，产生一批具有国际影响力的原创性研究成果。

This project considers the roadside-unit (RSU) deployment and scheduling optimization problems in vehicular ad hoc networks (VANETs), systematically studies the RSU deployment optimization theory and methods under different road scenarios, vehicular density distribution and mobility model, users' traffic distribution and quality of service (QoS) requirements, and respectively proposes RSU deployment optimization models and efficient optimization algorithms with different optimization objectives, including cost minimization, capacity maximization, access delay minimization, and connectivity maximization. Moreover, an analytical model is also proposed for estimating the maximum distance between a couple of RSUs in RSU deployment optimization. Based on the study of RSU deployment optimization, this project further studies the impact of different users' traffic demands and QoS requirements on the number of RSUs deployed and their energy consumption, proposes an energy-consumption minimized RSU scheduling method and an energy-efficient RSU adaptive scheduling mechanism that meets users' traffic demands and delay requirement. Moveover, an analytical model for quantitatively analyzing the RSU energy consumption and the data delay in the proposed energy-efficient RSU adaptive scheduling mechanism. Through the study of this project, it is expected to make certain breakthrough progresses in the area of RSU deployment and scheduling theory and methods for VANETS and achieve a certain number of original research results with international influence.