交通事故信息的高效准确发布使得驾驶者提前得知事故信息并重新进行路径选择，一定程度上缓解了事故后道路拥塞造成的消极影响。现有事故信息发布策略相关研究主要集中在4G车联网场景中非定向发布的通信性能研究方面，随后研究开始转向半定向发布策略，即选择有影响力的节点作为中继转发节点将信息发布给所有车辆终端以便减小链路竞争压力并提高通信性能，但非定向发布策略与半定向发布策略终究存在一些悬而未决的隐患：未考虑信息过度发布对交通系统的影响，可能导致拥塞转移从而造成通行延误、额外的燃料消耗以及二氧化碳排放率增大等问题；在4G车联网环境下，事故信息非定向或半定向地发布给大量骤增的网联车，信息发布仍然面临着信道竞争激烈、通信性能难以保证等问题；未来5G NR（New Radio）自动驾驶环境中海量的非事故信息带来的信道竞争，将严重影响两种不同业务信息的传播性能，事故信息低时延高可靠性能难以保障。本文针对上述问题，将从以下两方面着手：

       针对信息过度发布可能使拥塞转移从而造成油耗、排放等方面消极影响的问题以及网联车数目的增多使得4G车联网场景中通信性能难以保证的问题，本文全面考虑信息发布对交通的影响以及事故信息的传播性能，提出了一种综合考虑交通消耗和通信效率的事故信息定向发布策略。通过最小化系统总消耗得出最优的定向发布矩阵，将事故信息选择性地发布给部分的网联车，减少了事故信息过度发布所带来的额外油耗以及排放，进一步缓解了由于网联车数量增加和无线资源有限所带来的巨大挑战。仿真结果验证了该策略在同时保证通信性能、降低系统总消耗以及二氧化碳排放率方面的优越性。

       未来5G NR自动驾驶场景对信息的海量需求使得其他非事故信息与事故信息存在较大的无线资源竞争，将严重影响两种信息的传播性能，导致定向发布策略性能难以保证。基于上述定向发布策略的研究，将事故信息和非事故信息分别归类于超可靠低延时通信（Ultra-Reliable Low-Latency Communications，URLLC）业务和高传输速率的增强移动宽带（Enhanced Mobile Broad Band，eMBB）业务，提出了一种基于eMBB-URLLC动态资源调度的信息发布策略，在最大化eMBB业务传输速率的前提下，保证URLLC业务的低时延高可靠性能，从而在面对激烈资源竞争时保证定向发布策略的优越性能。仿真结果验证了动态资源调度策略对URLLC和eMBB业务性能需求的保障能力，以及基于调度策略的定向发布策略在节省交通油耗方面的有效性。

The efficient and accurate dissemination of traffic incident information enables drivers to know the incident information in advance and rechoose the route, alleviating the negative impacts caused by the road congestion after the traffic incident to a certain extent. The existing researches on incident information dissemination mainly focused on the communication performance of non-targeted dissemination in the 4G Internet of Vehicles (IoV) scenario. Subsequently, the research began to turn to the semi-targeted dissemination strategy, namely, selecting influential nodes as relay forwarding nodes to disseminate information to all vehicle terminals in order to reduce the link competition pressure and improve communication performance. However, there are some unsolved hidden dangers in non-targeted and semi-targeted dissemination strategies: Without considering the impacts of over-dissemination of traffic incident information on transport systems, congestion transfer may result in delays, additional fuel consumption and increased carbon dioxide emissions; In the 4G IoV scenario, non-targeted or semi-targeted dissemination of information to a large and growing number of Internet vehicles still faces the problems of fierce channel competition and reducing communication performance; The channel competition caused by massive non-incident information in the future 5G NR (New Radio) autonomous driving environment will seriously affect the transmission performance of two different business information, making it difficult to guarantee low delay and high reliability. Because of the above problems, this thesis will look at the following two aspects.

In view of the problem that excessive information dissemination may cause congestion transfer, resulting in negative impacts on fuel consumption, emissions and other aspects, and the increase in the number of connected vehicles makes it difficult to guarantee the communication performance in the 4G IoV scenario, this thesis comprehensively considers the impact of information dissemination on traffic and the dissemination performance, and proposes a joint traffic-communication targeted-dissemination strategy that comprehensively traffic consumption and communication efficiency. By minimizing the total consumption of the system, the optimal targeted-dissemination matrix is obtained, and the incident information is selectively released to some connected vehicles, which reduces the additional fuel consumption and emissions caused by the excessive dissemination of incident information, and further alleviates the huge challenges caused by the increase in the number of connected vehicles and the limited wireless resources. The simulation results verify the superiority of the strategy in ensuring communication performance, reducing system total cost and carbon dioxide emission rate.

The huge demand for information in the future 5G NR autonomous driving scene makes other non-incident and incident information have a large wireless resource competition, which will seriously affect the dissemination performance of the two kinds of information, and resulting in the performance of targeted dissemination strategy being difficult to guarantee. Based on the above research, the incident and non-incident information are classified into Ultra-Reliable Low-Latency Communications (URLLC) service and enhanced Mobile Broad Band (eMBB) service with the high transmission rate, respectively. An information publishing strategy based on eMBB-URLLC dynamic resource scheduling is proposed to maximize the transmission rate of eMBB service. The performance of low latency and high reliability of URLLC business is guaranteed, so as to ensure the superior performance of the targeted dissemination strategy while facing fierce resource competition. The simulation results verify the ability of the dynamic resource scheduling strategy to guarantee the performance requirements of URLLC and eMBB services, and the effectiveness of the targeted-dissemination strategy based on the scheduling strategy in saving traffic fuel consumption.