Research On The Platoon Dispersion Characteristics Of Mixed Bicycle On Urban Road

The traffic flow composed of traditional bikes and electric bikes is called hybrid bike traffic flow,urban hybrid bicycle traffic is an indispensable part of domestic road traffic and one of the most important ways for residents to travel.Bicycle traffic has become the best choice for urban residents to travel in a short distance due to its advantages of small size,cheap operation,low carbon and energy saving.However,an increase in the number of bike not only increases the difficulty for the urban traffic control,also caused the urban traffic complex human phenomenon aggravate,vehicle traffic environment and traffic safety problem increasingly serious,and the most effective ways to solve these problems is the characteristics of urban mixed traffic of bicycle and bicycle related theoretical study on discrete characteristics.Therefore,in order to better understand the operation characteristics and discrete laws of urban road hybrid bicycle traffic,it is necessary to improve traffic management,improve traffic efficiency,optimize signal distribution scheme and control strategy for urban road traffic.This article will further study of city road bicycle traffic characteristics and mix cycling team discrete laws,on the bike in the distribution of travel time and travel speed of discrete distribution and speed characteristics and urban road hybrid bicycle traffic intersection traffic release rules,intersection to rule and bicycle traffic flow heterogeneity within the theoretical research work.The specific research content of this paper is divided into the following aspects:1.Research on the characteristics of mixed bicycle traffic flow,starting from the basic characteristics of mixed bicycle traffic,this paper analyzes the departure mode of mixed bicycle from the intersection after the green light starts,and divides it into three modes: stable,decreasing and mixed;Then,common travel time distribution functions are used to fit the travel time of hybrid bicycles,such as normal distribution function,lognormal distribution function,distribution function of two truncated states of distribution and mixed gaussian distribution.On this basis,similar distribution function fitting and goodness of fit analysis are carried out for the velocity characteristics of hybrid bicycle.Finally,the velocity dispersion degree of hybrid bicycle is analyzed by using the standard deviation value and the normalized dispersion degree of bicycle travel velocity.2.The existing discrete model at home and abroad were reviewed and summarized and analysis to find out one of the most commonly used are the two most classic discrete model: Pacey discrete model,discrete model and Robertson team compared the two models and found Robertson,a discrete model based on flow in this paper,the research condition,the more satisfaction at the same time on the basis of the impact on the domestic law of cycling team discrete factors for analysis.3.This paper introduces the collection methods and key points of data required by the discrete model of urban road hybrid cycling team,and analyzes the data characteristics of hybrid bicycle data according to the survey data of hybrid bicycle in the main urban area of Kunming,and carries out data fitting and error analysis of several proposed distributions.It is proved that the travel time distribution of hybrid bikes satisfies several distribution assumptions in chapter ii.In addition,the characteristics of heterogeneous phenomenon in urban bike traffic flow are verified,which provides basic theoretical support for the following research on the discrete model of urban hybrid bike fleet.4.in homogeneous traffic flow is deduced under the environment of city road bike three mixed mode of discrete model,a stable flow discrete model,decreasing flow,mixed flow discrete model,discrete model constructed on the basis of this hybrid bike trip cutting speed obey lognormal distribution of discrete model,considering electric bicycle with traditional bicycle heterogeneity,constructed the city bike heterogeneous traffic flow discrete model,the two discrete model predicted results were compared with actual observation data.Both methods can better describe the bike arrived in traffic patterns,including bicycle heterogeneous traffic flow discrete model describes the features of traditional bicycle and electric bike arrive,make up for the homogeneous traffic flow conditions brought about by the lack of a single model,is to consider the importance of heterogeneous traffic flow characteristics to improve the model accuracy.5.according to the survey of the Kunming city four sections of flat peak and peak data two times when a total of 8 sets of data,the 8 groups of different cases of model prediction results compared with the actual survey data,the results show that both models can better describe the urban road hybrid bicycle traffic reach rules,teams flat peak period of heterogeneous discrete model than the homogeneous teams discrete model prediction precision is increased by 17.37%,the peak time increased by 12.90%.The average prediction error of a single signal cycle is less than 5 bicycles.