Study On Speed Guidance Method Of Signalized Intersection With Energy Consumption Priority

With the development of social economy,car ownership in China continues to increase.The resulting problems such as traffic congestion,emissions pollution and energy shortage is increasingly serious.Related research shows that,due to the light of periodic traffic blocking cognitive fuzziness,the influence of traffic environment and drivers at signalized intersection traffic vehicles are more prone to frequent transformation,driving speed,acceleration and deceleration control unreasonable adverse driving behavior,in the area of vehicle fuel consumption rate is significantly higher than other sections.Therefore,the signalized intersection traffic speed carries on the reasonable planning guidance,and to improve the fuel economy of vehicles process efficiency is an important approach to transportation industry to achieve energy conservation and emissions reduction.Based on the vehicle-road collaborative system,this paper studied the method of guided speed planning with minimum energy consumption of vehicles passing out of signalized intersection.The research contents are summarized as follows:(1)From the point of view of economic speed control and driving stability,the causes of additional energy consumption caused by human factors in the driving process of vehicles was analyzed,and the demand of guiding control of vehicle speed in the scene of intersection to achieve vehicle energy saving and emission reduction was proposed.The architecture and key technologies of vehicle-road collaborative system were introduced.Based on vehicle-road collaborative technology,the speed guidance scene at signal intersection was constructed,and the interference factors in actual traffic environment were restricted in the guidance scene to highlight the research object.(2)The traffic characteristics of vehicles at signalized intersection were studied,and three guidance scenarios of accelerating through,decelerating through and decelerating stop as the decision-making results of the vehicle traffic decision model at the signalized intersection was proposed,combined with the current signal light phase,timing and vehicle movement state.Taking the minimum fuel consumption of vehicles in the guidance area as the optimization goal,the optimal speed curve control model under the corresponding guidance scenario was studied.The S-type acceleration/deceleration model was used to optimize the acceleration discontinuity of the guide curve,and the smoothness of the guide curve was effectively solved.In addition,the simulation results show that,compared with the speed optimization model based on trigonometric function,the S-type speed curve optimization model proposed in this paper has better performance in reducing vehicle fuel consumption.(3)The dynamic updating method of guide velocity curve was studied.Based on the open-loop speed guidance system,a dynamic updating method of speed guidance curve based on closed-loop feedback was proposed,which effectively solved the adap-tability of the guidance method to the following error.