智能交通协调控制系统设计研究

Research on design of intelligent traffic coordination control system

近年来,随着社会经济的不断发展,使得越来越多的普通家庭也有了购买汽车的能力。日渐发达的交通拓宽了人们的生活半径,但是驾驶者们也经历了越来越多的挑战。由于现代交通工具的数量和道路的需求量不成正比,热门的出行线路因为人们每日对此需求和经济条件的影响不能得到有效的拓宽,再加上驾驶者对路况信息的生疏和拥堵状况的错误判断,无论是初来乍到的驾驶员、还是对日常驾驶效率要求较高的出行者,都亟需用最快的时间获得最有效的出行路径规划,从而节约时间成本。智能交通路径规划系统正是对此问题的解决办法。这里,通过结合Dijkstra算法、数据库和E-R图等实用设计,针对智能交通协调控制系统的实现从初始化、运行、直至得到规划结果进行了各重点功能的关键技术研究。

In recent years,with the continuous development of social economy,more and more ordinary families have the ability to purchase cars. Developed traffic has broadened the radius of life for people,but drivers have also experienced more and more challenges. Since the number of modern means of transportation is not proportional to the demand for roads,the popular travel routes cannot be effectively broadened because of the increasing daily demand for the route and economic conditions,coupled with the driver’s unfamiliarity and congestion of traffic information. The wrong judgment,whether it is the first-time driver or the traveler who has high requirements for daily driving efficiency,makes them urgently need to get the most effective travel route planning in the fastest time,thus saving time cost. The intelligent traffic path planning system is the solution to this problem.Combined with practical design tools such as Dijkstra algorithms,databases and E-R diagrams,the paper proposes key technologies research on intelligent transportation coordination control system from initialization,operation,and planning results.