Research On Inductive Control Of Bus Priority Based On Optimization Of Punctuality Rate

A large number of individualized travel has aggravated the congestion problem,and the development of public transportation can improve the efficiency of traffic.However,the unstable reliability of public transportation has made the attractiveness of public transportation continue to decline.Aiming at the problem of bus delays,with the help of real-time sensing and monitoring conditions of radar vision fusion technology,the operation characteristics of bus stations are analyzed.The delay benefits of bus phase and non-priority phase under no public bus right of way are considered,and an induction bus priority on-time rate control model is proposed.At the same time,under the conditions of green wave coordination,a multi-objective optimization model is established by taking the optimization degree of on-time rate and the weighted delay of intersections as the objective function.Thereby improving the reliability of bus operation.The specific research content is as follows:(1)Analyze and compare the characteristics of various types of bus priority control detectors,and select a large-scale,high-precision radar Vision fusion detection technology to collect data required for inductive bus priority control,such as queue length,vehicle speed,and vehicle location information.Under the condition of no dedicated bus lanes,considering that the bus will be affected by the social queuing vehicles in the actual mixed traffic flow,the timedistance trajectory diagram is used to analyze the four operating states of normal bus traffic,queuing traffic,no queuing waiting and queuing waiting.For different states,calculate the loss time of bus starting and braking caused by the arrival and departure of queued vehicles,and predict the bus travel time between upstream and downstream stations.(2)From the perspective of the reliability of bus operation,a single-point induction bus priority control method considering no bus-only right of way is proposed.Taking the difference between the actual and planned travel time predictions as the initial signal control time,a formula for calculating the benefits of bus priority phase and non-bus priority phase control considering the superposition of queuing delays is proposed,and the punctuality rate of bus stops is taken as the optimization target,and the bus priority punctuality control model is established.Subject to the late conditions and the benefit conditions of the intersection delay,the strategy of extending the green light and the early interruption of the red light is adopted to implement the inductive bus priority control.(4)Considering the coordination mechanism between intersections,two adjacent intersections in the trunk line are used as the coordination control group,and the single-point induction bus priority control method is used as the basic control unit of the intersection.The scenario hypothesis method is used to analyze the traffic characteristics between two intersections under the conditions of green wave coordination and the reasons for the invalid priority of the bus in the control coordination group.According to the relationship between the green light on time of the coordinated phase and the lower limit of the green wave band,through the correlation calculation of the initial phase control time between the intersections,the vehicle delay at the downstream intersection is predicted and the priority validity is judged.Under the premise of effective priority,a comprehensive weighted delay benefit calculation formula is proposed,and the on-time rate optimization degree and the weighted delay of the intersection are used as the objective function to establish a multi-objective optimization model to alleviate the conflict relationship between the bus priority control and the delay between the green wave belt under the coordination of the main line.(5)Select actual cases for analysis,use VISSIM micro-simulation software for modeling,and use least squares fitting to obtain delay function coefficients based on real-time queue length data.The results show that under the single-point bus priority control,bus delays are significantly reduced by 28.45%,the average travel time is reduced by up to 52.42%,and the punctuality rate is increased by more than 80%.Under the green wave coordinated control environment,the comprehensive weighted average vehicle delay is reduced by 3.1%,and the on-time rate can reach as high as 84.47%,which demonstrates the effectiveness and practicability of the model.