Model Of Vehicle Active Scheduling At Intersection

With the increasing of car inventory, traffic jam has increasingly become the focus ofall social sectors concern. The low traffic efficiency has hindered the development of cityseriously. The fuel consumption and the exhaust emissions of the vehicle has burdened onthe natural resources and the environment. Therefore, we need a new scheduling modeleagerly to improve the traffic efficiency, and on the other hand, reduce the fuelconsumption and the emissions of traffic. The rapid development of VANETs makes thecommunication between vehicles and infrastructures become possible. VANETs is a newmobile ad hoc networks which is used on the road, it aims to realize high-speed datatransmission between vehicle and vehicle or vehicle and infrastructure by the roadside.Through VANETs, vehicles can share the information, such as traffic information, speed,direction and location with their neighbors. With the help of VANETs, the driver can obtainthe traffic information beyond visual range. It is also the technical basis of the newscheduling model of vehicles through the intersection.Usually, vehicles with constant speed are more fuel-efficient and have fewer exhaustemissions. In traditional scheduling model of intersection, the vehicles have to adjust theirdriving status according to the traffic lights. Sharp acceleration/deceleration at intersectionincreases fuel consumption and emissions. The cycles of traditional traffic lights set up relyon experience and historical statistics, and they cannot be adjusted in real time according tothe changes in traffic flow to handle the unexpected situation. Although the popularinduction models can control the green time with the traffic situation, they just considerhow to improve the traffic efficiency, and cannot reduce the fuel consumption andemissions when vehicles are traveling. Because of the limitation of minimum green timeand the uneven distribution of vehicles, the green time cannot be used adequately,especially in the situation that the traffic flow is not high but changes frequently. At thesame time, the facilities induction models need are hard to install and not flexible. Forexample, the inductive loops must be lay under the road. If we want to realize morecomplicated control method such as phase optimizing, the amount of inductive loops willdouble.A novel scheduling model is proposed based on V2I/V2V communication andautonomous driving system, including vehicle motion, traffic light control and other aspects. The vehicles will communicate proactively with traffic lights when approaching tointersections and then transmit the required information such as speed, direction and lengthfor scheduling. When the traffic flow is large, vehicles in the same lane with the samedirection form a team. The headmost vehicle will maintain the team information andcommunicate with the traffic lights. After summarizing all information of vehicles fromdifferent directions, traffic light makes a scheduling decision and distributes a time-slice tovehicle applicants. Every vehicle(team) will obtain a time-slice instruct when to across theintersection, and they adjust their speed according to the time-slice. When the traffic flow istoo high to through the intersection without any stop, the vehicles will wait before thestop-line with a save-oil way (such as neutral taxiing). Simulations show that the proposedmodel is better than the traditional model in reducing fuel consumption and waiting timewhen the traffic flow is not overloaded. And when the traffic low is large, the proposedmodel can combine with the popular induction models and has the same traffic efficiency.