能耗优先的交叉口车速引导系统研究与实现

发布时间：2018-06-19 07:53

本文选题：车速引导 + 车路协同　；参考：《长安大学》2017年硕士论文

【摘要】：随着环境污染问题的日益严重,以车路协同技术为基础进行经济驾驶行为及控制系统的研究已经成为现代智能交通系统中的一个研究热点。交叉口作为车流的集散交会处,频繁的车辆加减速变换以及启停行为,造成了机动车不必要的能源消耗和污染物排放。本文基于车路协同技术,对交叉口通行预判模型和车速引导方法进行研究,并设计实现了一种能耗优先的交叉口车速引导系统。论文主要工作如下:首先,对交叉口场景下的车辆通行及节能驾驶行为控制需求进行分析,并在对车路协同环境下的信息感知交互方式研究的基础上,提出了节能车速引导系统的结构设计。其次,通过基于行驶功率需求的油耗模型研究油耗与车速之间的关系,针对经验型节能驾驶行为在交叉口扰动环境下对通行判断的模糊性及决策的非经济性问题,设计一种基于时空约束的通行预判模型;对不同通行预判下的节能车速引导方法进行研究,并利用三角函数对加速及减速引导中加速度不连续的问题进行优化,有效地平滑了车速引导曲线,得到了多工况下的交叉口节能行为策略。然后,在上述研究的基础上,设计并开发集OBD车辆信息采集、DSRC交叉口信息传输和Android车载终端软件为一体的能耗优先的交叉口车速引导原型系统。最后,构建了车路协同下的交叉口测试场景,对系统进行模块与整体功能测试,并对本文设计的通行预判模型与节能车速引导方法进行测试分析。测试结果表明:在不同车速下,车速引导系统可以根据车路信息有效地为驾驶员提供交叉口车速引导服务。本文设计的通行预判模型可以准确地为驾驶员提供通行决策,车速引导方法在非加速临界条件下可以有效地为驾驶员提供动态车速建议,相对于自然驾驶情况下的车辆行为,通过车速引导可以有效减少车辆通过交叉口处的油耗。
[Abstract]:With the increasingly serious problem of environmental pollution, the research of economic driving behavior and control system based on vehicle-road coordination technology has become a research hotspot in modern intelligent transportation system. Intersection as the intersection of traffic flow, frequent acceleration and deceleration of vehicles, as well as start and stop behavior, resulting in unnecessary vehicle energy consumption and pollutant emissions. Based on the technology of vehicle-road coordination, this paper studies the traffic prediction model and speed guidance method at intersections, and designs and implements a speed guidance system for intersections with priority of energy consumption. The main work of this paper is as follows: firstly, the requirements of vehicle traffic and energy saving driving behavior control in intersection scene are analyzed, and the information perception interaction mode in vehicle-road collaborative environment is studied. The structure design of energy saving speed guidance system is presented. Secondly, based on the fuel consumption model of driving power demand, the relationship between fuel consumption and speed is studied, aiming at the fuzziness of empirical energy-saving driving behavior and the non-economic problem of decision making under the disturbance environment of intersection. A traffic prediction model based on space-time constraints is designed, and the energy saving speed guidance method under different traffic prediction is studied, and the acceleration discontinuity in acceleration and deceleration guidance is optimized by trigonometric function. The speed guidance curve is smoothed effectively, and the energy saving behavior strategy of intersection is obtained under multiple working conditions. Then, on the basis of the above research, we design and develop a prototype system of energy consumption priority intersection speed guidance which integrates OBD vehicle information acquisition and Android vehicle terminal software. Finally, the test scene of intersection under the coordination of vehicle and road is constructed, the module and the whole function of the system are tested, and the model of traffic prediction and the method of energy saving speed guidance designed in this paper are tested and analyzed. The test results show that the speed guidance system can effectively provide the speed guidance service for the driver at the intersection according to the road information under different speed. The traffic prediction model designed in this paper can accurately provide the driver with traffic decision, and the speed guidance method can effectively provide the driver with dynamic speed advice under the condition of non-acceleration critical condition, compared with the vehicle behavior under the natural driving condition. Speed guidance can effectively reduce fuel consumption at intersections.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U491

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