控制算法在保证交通畅通的情况下，使车辆延误时间尽可能地短。
The object of the control arithmetic is to make the traffic trunk road unblocked and the average vehicle delay time shortest.
根据通过交叉口的车辆停驶过程，推导出交叉口平均车辆延误计算模型。
According to the process of vehicle coming and going at intersection, the calculation model of average vehicle delay was proposed.
分析了行人专用相位的信号交叉口冲突，阐述了交叉口车辆延误的计算方法。
The conflict at signalized intersection with exclusive pedestrian phase is analyzed and the the calculation of vehicle delay is elaborated.
仿真研究表明本文提出的方法能够有效地缩小排队长度，从而达到减少车辆延误的目的。
Emulation study shows that the method put forward by the paper can shorten effectively the queueing length, so as to reach the purpose of decreasing vehicle delay.
仿真结果表明，所设计的模糊神经网络控制器能有效地减少单交叉口平均车辆延误，具有较强的学习和泛化能力。
Results of simulation show that the fuzzy neural controller can not only decrease the average vehicle delay but also possesses excellent abilities of learning and generalization.
仿真研究表明：该控制算法能够大大减少车辆延误时间，是进行城市智能交通控制的一种实用且行之有效的方法。
The simulation result indicates that the control algorithm can greatly reduce vehicle delay, it is a practicable and useful method for urban intelligent traffic control.
经实验表明，这种控制方法对减少车辆平均延误时间具有明显的控制效果。
Indicated after the experiment that, this control method to reduces average delay time of the vehicle to have the obvious control effect.
扣押车辆和高额罚款极大地增加了各快递企业的运营成本，造成了快件的延误，同时也严重影响了广大用户的生产和生活。
The seizure of vehicles and expensive fines have greatly increased the operating costs of express enterprises, led to the delay of express delivery and severely impacted the work and life of users.
控制的目标是使进入干线上行和下行的车辆一路绿灯，明显降低车辆停车率和平均延误时间。
The goal of this control strategy is to achieve the zero stop of the up-run or down-run vehicles in the trunk and make the vehicle average delay time shortest.
在非饱和状态下，当左转交通量比较大时，此模型可以较好地计算车辆的平均延误。
The results show that the presented model can be used to evaluate the average delay in vehicle motion when the flow of left turning vehicles is relatively large.
用户成本主要包括：车辆运营费用、延误费用、事故费用和行车不舒适性。
User costs are made up of vehicle operating costs, delay costs, costs of traffic accidents and uncomfortable running.
仿真结果表明蚁群算法与模糊控制相结合的智能控制技术，更有效地降低通行车辆在交叉口的平均延误时间，更能适应复杂多变的交通环境。
The results indicates the algorithm can effectively reduce the average delay time of vehicles in the intersection, Correspondingly enhance the passing capacity of the intersection.
以每个周期内交叉口的车辆平均延误作为控制指标，来判断该控制器的控制性能。
The performance of the controller is evaluated by the average vehicle delay of the intersection in each period.
其中，平均停车次数减少30%，平均车速提高18%，车辆平均延误时间减少40%。
The average stop frequency decreased by 30 percent. The average speed increased by 18 percent. The average delay time decreased by 40 percent.
仿真结果表明，该方法能有效降低通行车辆在交叉口的平均延误，优于传统的感应控制方法。
The results show that this method can effectively decrease the average delay in the intersection and is superior to a traditional vehicle actuated control method.
仿真结果表明，本文设计的模糊神经网络控制器能够有效降低车辆平均延误，满足实时控制的要求。
Simulation results show that the design of the fuzzy neural network controller can reduce the average delay of vehicles effectively, and meet the demand for real-time control.
人行道被完全占用时，行人占用车行道通行，使道路的通行能力降低，同时使车辆的行驶速度降低，行车延误增大。
When the pavement is occupied absolutely, pedestrians occupy vehicle lanes. Thus the passing capacity of the road is reduced; the speed of vehicles becomes lower and the travel delay increases.
通过实例计算分析，认为无控交叉口冲突点延误主要与相冲突车辆的流量有关。
The calculation result of an instance shows that the delay at conflict points of non-signal intersection is related to the volume of the conflict streams.
流量较大情况下，结合车辆到达-离开图示，建立了相应的延误影响模型。
While in the high volume case, an arrival & departure chart of parking vehicles is consulted to formulate a corresponding delay impact model.
为了减少车辆通过路口的延误，采用云模型建立控制策略，运用Q -学习改进控制模型的参数。
In order to reduce the delay of cars passing through intersections, control strategies are set up by cloud model and some parameters of the control model are improved by Q-learning method.
目的提出以车辆在交叉口延误作为模糊输入的交通信号模糊控制策略。
Aim With intersection delay as fuzzy input, to put forward a new method of traffic fuzzy control system.
第四部分讨论了车辆受非机动车的阻滞延误。
方法通过对车辆在交叉口延误时间的估算，制订模糊控制规则来控制交叉口的信号灯，能有效地减少车辆在交叉口的延误时间。
Methods Using the fuzzy control rule of accurate estimated intersection delay to control intersection signal lamp will reduce the time vehicle delay on intersection effectively.
从行程时间延误的范畴，分析了城市信控交叉口车辆的受阻过程、延误分类和确定方法。
Based on travel time delay category, the process of vehicle travel at signal intersection, the sorts of delay and the method to obtain the delay are described in this paper.
通过实例计算分析，认为无控交叉口冲突点延误主要与相冲突车辆的流量有关。
The calculation result of an instance shows that the delay at conflict points of non-signal intersection is related t...
经济效益中以车辆行程时间延误与路口时间延误的节约作为主要效益。
The economy for delay of vehicle running time and the time delay at crossings shall be the main...
结果给出了车辆在交叉口延误时间的计算方法、模糊控制规则的定义和解模糊的方法，并以实例验证了这种方法的可靠性。
Results a calculated method, a definition of fuzzy rule and settle fuzzy method are given. This method has been applied in specific case reliably.
结果给出了车辆在交叉口延误时间的计算方法、模糊控制规则的定义和解模糊的方法，并以实例验证了这种方法的可靠性。
Results a calculated method, a definition of fuzzy rule and settle fuzzy method are given. This method has been applied in specific case reliably.
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