| In urban transportation networks,traffic arteries are the main arteries of urban roads and often carry a huge transportation burden.In reality,the traffic flow is constantly changing,which will increase the delay of vehicle operation.As a new technology,vehicle-road cooperation can achieve real-time and accurate access to road and vehicle status through wireless communication,sensor detection and data fusion technology.Therefore,with the support of new technology,how to realize the intelligent transformation of intersection control mode,which is important to solve the shortage of existing arterial coordination control scheme and improve the operation efficiency of urban arterials.Based on this,the two-way optimization problem of speed guidance and sensing control strategy is studied in this paper for the coordinated optimization of arterial signals in the vehicle-road cooperation environment.Firstly,a fleet discrimination model was proposed.The road section between adjacent intersections was divided into a buffer zone and a platoon control zone according to its function.In the platoon control zone,vehicles were identified and numbered in a queue,using the headway and current signal status as a criterion.Secondly,a speed guidance model based on vehicle following behavior was proposed.The optimal speed function of the following vehicle was improved by considering the influence of the current signal state and the running acceleration of the vehicle ahead on the speed guidance strategy.And the speed guidance was carried out with different strategies using the convoy as the guidance unit.Then,an adjustable traffic flow based signal optimization method under arterial coordinated control was proposed.The Pareto multi-objective particle swarm algorithm was used to solve the base signal scheme under the status quo under the improved arterial coordinated control model.The inlet lane flow was detected in real time to determine whether the effect of the traffic flow state on the common cycle and signal timing of the coordinated intersection reaches the adjustment threshold.If the common cycle threshold was reached,the common cycle of the coordinated intersection was adjusted by lengthening or shortening,and the signal scheme of each intersection was further optimized.If the cycle adjustment threshold was not reached,only the signal timing of a particular intersection was adjusted.Finally,the effectiveness of the optimization method in the paper was verified with the help of simulation experiments.Vehicle delays in the trunk direction,number of stops,vehicle delays in the secondary direction and queue length were selected as evaluation indexes;the VISSIM microsimulation software was secondarily developed in C# language,and simulation scenarios were constructed and compared and evaluated for the status quo scheme,the Multiband scheme,the speed-guided-only scheme and the optimized control scheme proposed in this paper.The simulation results showed that compared with the original scheme,the Multiband model and the speed-guided-only scheme,the model proposed in this paper can reduce the mainline vehicle delays by 32.5%,18.3% and 5.6%,respectively;the number of stops by 35.8%,17.8% and 4.9%,respectively;the vehicle delays in the secondary direction by 45.9%,26.3% and 15.7%,respectively;and the travel time The trip time was reduced by26.5%,12.4%,and 8.1%,respectively.Therefore,the optimal control scheme proposed in this paper can effectively improve the traffic efficiency of the arterial intersection. |
PDF Full Text Request