文章编号： 1672-5328（2020）03-0103-11

潘述亮1，徐晓东2，杨海波2，邹难1
(1. 山东大学，山东济南250061；2.济南市公安局交通警察支队，山东济南250014)

摘要： 伴随人工智能、大数据和云计算等新技术的发展，新一代智慧交通系统的建设成为城市交通 智慧新业态构建的必然选择。通过梳理中国当前智能交通系统发展和已建成的城市智慧交通管理系 统，展望未来智慧交通系统的关键特征。以济南市为例，提出打造多领域连通融合、多源数据信息 交换共享、多层次智慧协调的交通管理生态系统。重点探索信息技术与交通工程技术体系融合的交 通大脑能力框架，并由此搭建“一云四中枢”体系架构，可实现大脑的自我评价和学习进化。进而 分析济南交通大脑平台的逻辑构架、功能方案以及技术难点。实践表明，该智慧交通系统能够很好 地辅助管理部门进行交通拥堵治理，进而推进未来城市交通可持续发展和智慧出行服务。

关键词： 城市交通管理；智慧交通；城市大脑；自我进化；顶层设计；数据融合；济南市

中图分类号： U491

文献标识码：A

Intelligence and Evolution: A New Generation of Intelligent Transportation System Design in Jinan City

Pan Shuliang1, Xu Xiaodong2, Yang Haibo2, Zou Nan1
(1.Shandong University, Jinan Shandong 250061, China; 2.Traffic Police Detachment of Jinan Public Security Bureau, Jian Shandong 250014, China)

Abstract： With the development of new technologies such as AI, big data and cloud computing, a new era of intelligent transportation system has become necessary for urban transportation development. Through reviewing the current development of China's intelligent transportation system and the already established systems, the paper outlines the key characteristics of the future intelligent transportation system. Taking Jinan as an example, the paper proposes to develop a traffic management system featuring multi-disciplinary connectivity and integration, sharing and exchanging data from multiple sources, and multiple agencies' intelligent coordination. Focusing on the transportation brain framework that integrates information technology and traffic engineering technology, the paper develops a framework of “one cloud and four centers” to realize the evolution of the brain through self-evaluation and learning. The paper discusses the logical framework, functional scheme and technical difficulties of Jinan's transportation brain platform. It is known through practice that the intelligent transportation system can provide large assistance to the administrative department in controlling traffic congestion, thus promoting the sustainable development of urban transportation and smart travel services in the future.

Keywords： urban traffic management; intelligent transportation; urban brain; self-evolution; top-level design; data integration; Jinan