| Along with the rapaid growths in both car ownership and urban scales, the trafficenvironment is degradating in China. The problem of ensuring road efficiency and, the mostimportant among others, vehicle safety, is the fundamental task of city development. At theturn of the century, the transportation infrastructure has been improved in many cities. Oldurban roads were widened, or replaced by fast road or private roads, in order to improve thepeople’s travel. All the types of these roads are multi-lanes. The emergence of multi-lanes intraffic environment is able to increase efficiency for vehicles and road employing. However,as a cost of introducing multi-lanes, more coupling problems of relations between vehiclesalso emerged. Due to space limitations，solving the congestion by the improvement oftransport infrastructure only is finituded. A new solution domain is provided to solve theproblem above by Intelligent Transportation System (ITS), with its core content ofCooperative Vehicle Infrastructure System (CVIS), which pays more attentions on the microcar road traffic object. The condition of future traffic environment, traffic participants and thecorresponding method of planning and control in multi-lanes microenvironment coordinationon CVIS are studied in this paper.Comparing the actual path relationship between the vehicles and infrastructure, the basiccharacteristic of CVIS is that the information of operation and controls between vehicles tovehicles (V2V) and vehicles to infrastructures (V2I). As the way of information acquisitionchanged, the vehicle’s running state changed at same time. Based on these changes, in thispaper, the key tasks to solve the traffic problem in the future are studied according to thedifference traffic density and the different ways of information interacting, respectively. Then,the feasibility and effectiveness of the rules, models and algorithms are demonstrated byexperiments. The concrete research content as follows:1. Lane-changing rules in Multi-lanes environment. Comparing with rules in two laneenvironment, changing rules in Multi-lanes environment are more complex and flexible. Inparticular, when the traffic density is high, the congestion dramatically reduces the efficiencyof road. The establishment of flexible lane-changing rules is studied first. These rues arebased on vehicle-infrastructure information exchange, and the operation characteristics ofvehicle lanes in different environments are analyzed. Based on the cellular automata theory,microscopic traffic flow model is established, and the corresponding analysis of the modeland the realistic environment as the object, comparing with the traditional model of traffic flow parameters of the difference, are proposed in the numerical simulation. Experimentalresutls show that the cooperative lane-changing model increases the frequency, and raises theefficiency of the way.2. Decision-making model of the car operation in high traffic density based on car-collaborative. Based on car-interactive information technology and the same high-densitytraffic environment, a decision model of the car operation in high traffic density is proposed inthis paper.. Firstly, the status change of vehicles that affected by surrounding vehicles isanalyzed. Secondly, vehicle operation decision-making model is established based on thetheory of rough-fuzzy set. Finally, the decision model is introduced in data associationapplication experiments of multiple target tracking, which is based on particle filter algorithm.The experimental results show that the decision model can supply the timely dicision resultsof the vehicle according to the operation status of surrounding vehicles.3. Safety path planning method of the vehicle in low traffic density. In addition to themicroscopic traffic guidance studing of mutil-lane environment with high-density traffic, andunder the conditions of vehicles in low density, the first thing need be considered problem issafty, the paper puts forward a vehicle safety path planning method based on differentialevolution algorithm. Under the assumption of the vehicle running information can be obtained,the edge potential field function is improved based on the characteristics of vehicle running,and it is used for describing the dynamic threats relationship generated vehicle running; Andthe path planning algorithm is constructed based on differential evolution, which supplies thepath of vehicle in high speed to avoid risk. Experiments show that the improved potentialfield function is more applicable to describe the road edge global threats of dynamicrelationship between vehicles; and the differential evolutionary algorithm for pathplanninghas better ability of global optimization and shorter convergence time.4. Control optimization method of main road intersection signal based on the celltransmission model.Except for the future research on analyzing the traffic changes in theenvironment of road and intersection traffic control, which is the basis for the most part and isan important part of the network, the information interaction under the condition of multiplecooperating intersection signal control optimization method is studied, and with the aid oftraffic transport model, the dynamic characteristics of intersection traffic flow in and out isanalyzed, and in the view of the control should be based on cell transmission model,intersection signal multi-objective optimization model is established, with the aid of DISCOintersection dynamic traffic flow simulation software, a multi-intersection signal controlenvironment is constructed. Finally, the improved genetic algorithm is optimized. Numerical simulation results show that the coordinated control method analyzed in this paper can reducemore intersection signal time，and effectively reduce the traffic delay changes in traffic flow.Finally, combining the innovation of the paper, summarizing the full text, and the prospectsfor the future of work.Then put forward the problem need to strengthen in the future. |
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