一维确定性主干道交通流模型的研究

利用一维确定性元胞自动机模型模拟主干道交通流 ,研究绿信比、道路上车辆密度、周期、交通灯的多少对主干道交通流流量和流速的影响     

公交车站对交通流影响模拟分析

采用元胞自动机模型对城市道路中公交车站影响下的交通流特性进行模拟分析.研究了非港湾式车站和港湾式车站两种设置方式下交通流特性,对公交车比例和公交车站长度的影响进行了分析.模拟结果显示非港湾式车站对交通流的影响较大,通过增加车站长度并不能有效地提高系统流量;港湾式车站对交通流的影响较小,通过增加车站长度可以较大程度地增加系统流量. 关键词： 公交车站 混合交通流 元胞自动机     

网络交通流动态演化的混沌现象及其控制

本文以含2条平行路径的交通网络为例, 探讨了网络交通流逐日动态演化问题. 首先, 建立了动态系统模型来刻画网络交通流的演化过程, 动态系统模型的不动点就是随机用户平衡解, 证明了平衡解存在且唯一. 然后, 根据非线性动力学理论, 推导出了网络交通流演化的稳定性条件. 其次, 通过数值实验, 分析了网络交通流的演化特征, 发现了在一定条件下流量的周期振荡和混沌现象. 最后, 以OD需求为控制变量推导出了网络交通流混沌控制的方法.     

十字路口人车相互干扰交通流的研究

基于十字路口过街行人与机动车的特点,建立十字路口过街行人和机动车相互干扰的元胞自动机交通流模型。在开放边界条件下通过计算机数值模拟,研究了有红绿灯控制时,周期、绿信比、人与车的产生概率、车消失概率对车流量、过街人数的影响。通过比较有和无红绿灯控制时的车流量与行人过街数,得到了绿信比的最佳取值范围。     

信号灯控制下的主道双车道入匝道系统交通流特性研究

采用元胞自动机模型研究了具有信号灯控制的主道为双车道的入匝道系统交通流特性.将信号灯设置在入匝道口处,通过信号灯来引导主道和匝道上的车辆通行.分析了信号灯控制对主道与匝道的车流量、系统通行能力以及入匝道口处的车流平均速度的影响.通过相图比较,说明信号灯控制的双车道入匝道系统能模拟出比信号灯控制的单车道入匝道系统更加符合实际的交通流特性.与姜锐提出的模型［Jiang R 2003 J. Phys. A 36 11713］结果相比,信号灯控制下的匝道系统的交通流状态得到改善并且道路通行能力有所提 关键词： 交通流 元胞自动机 入匝道系统 信号灯     

交通灯控制下城市主干道双车道多速元胞自动机交通流模型研究

提出一个城市主干道双车道多速元胞自动机交通流模型，此模型采用开放性 边界条件，在考虑诸多实际因素影响情况下，研究了主干道中车站的设置、交通灯绿信比对 车流量和车流速度的影响.计算机模拟所得到的基本图（流量 速度图）能较好地反映在交 通灯控制下城市主干道交通流真实状况. 关键词： 元胞自动机模型 交通流 主干道     

驾驶员属性对信号灯路口交通流的影响研究

采用元胞自动机模型研究信号灯路口的交通流特性,系统地分析了与性别、驾驶经验、性格等驾驶员属性相关的驾驶行为对交通流的影响.数值模拟发现,技术生疏或紧张驾驶、急躁行驶等驾驶行为更易引发自由流到阻塞流的相变,是路口通行低效率及事故隐患的重要原因,信号周期是影响流量与个人通行时间公平的主要因素.     

考虑公交港湾式停靠的多速混合城市交通流元胞自动机模型研究

在Nagel-Schreckenberg提出的元胞自动机模型基础上,建立了考虑公交车辆和港湾式公交停靠站的多速混合车辆单车道城市交通流元胞自动机模型.通过计算机模拟,给出了随机减速概率、混合车流密度、公交车辆平均停靠时间、公交车辆占有率和港湾式公交车站间距对混合车流速度和流量的影响图.对混合车流的特性进行了分析和讨论. 关键词： 元胞自动机 港湾式公交停靠站 混合交通流模型 计算机模拟     

基于精细微观交通流模型的信号交叉口人-车相互干扰研究

采用微观离散模型研究信号交叉口的人-车相互干扰机理,其中车辆运动描述基于细化NaSch模型并考虑了司机对交通灯信号切换的预期效应;行人运动描述则基于多步格子气模型并考虑了过街绿灯周期内行人过街速度逐渐增加的特征.机动车与行人之间相互干扰表现为交通灯信号切换时由于车辆(行人)滞留冲突区而造成行人(车辆)运动的延误.通过数值模拟得到了车辆运动的基本图、行人等待时间以及相应的相图,并给出行人(车辆)滞留冲突区内造成车辆(行人)延迟的定量特征.模拟结果发现存在一个临界绿信比.当绿信比小于临界值时,随着密度的增大,车流出现自由流相、饱和流相和拥堵流相;而当绿信比大于临界值,则出现自由流相、共存相、饱和流相和拥堵流相.由人-车相互干扰所导致的延误与车流和行人流的运行状态密切相关.当行人到达率和绿信比都比较大时,等待区内的行人无法在行人绿灯周期内一次清空.文中详细地讨论了人-车相互干扰的定性和定量特征.发现通过合理设置绿信比,可以在保证车流运行效率的同时,减少行人过街的等待时间.     

考虑信号灯影响的交通流模型与数值模拟

基于信号灯交通系统中跟车行为的特点,改进了现有跟车方程,提出一个考虑信号影响的交通流模型.数值计算结果表明,该模型可以很好地再现车流的聚集与消散、停车波和启动波的演化规律及传播特性,证明模型是合理有效的. 关键词： 交通流模型 信号灯 停车波 启动波     

Effect of irregularity on vehicular traffic through a sequence of traffic lights

We present the stochastic nonlinear-map model of vehicular traffic controlled by irregular signals. The signal’s interval, the split of signal, and the offset time changes irregularly from signal to signal on a roadway. We study the effect of irregularity on dynamical behavior of vehicular traffic through a sequence of traffic lights. The vehicle exhibits the very complex behavior with varying cycle time. When the strength of irregularity is small, the arrival time does not change with irregularity for some values of cycle time, while it changes for other values of cycle time. The region in which the arrival time changes is expanding with increasing irregularity’s strength. The region map (phase diagram) is shown in the cycle time-irregularity’s strength space.     

Visible light communication system based on spread spectrum technology for intelligent transportation

In recent years, with the rapid development of the solid state Light emitting diodes (LED’s) material, visible light communication has vast applications in transportation system. Generally, LED visible light communication refers to the communication technology which utilizes LED as a signal transmitter, the air as a transmission medium, and the photodiode as a signal receiving component. Visible light communication based on LED light source has been widespread concerned in intelligent transportation system (ITS). In particular, it is used to solve the communication problems between traffic lights and vehicles. However, signal source switching always puzzles the application of visible light communication based on LED in ITS. If signal source switching is not solved effectively, it will result in the interruption of information transmission. The paper proposes a visible light communication system using spread spectrum technology and pulse position modulation. When the vehicle is at the crossroads, the receiver on the vehicle receives signals from the four LED traffic lights at the same time. During the movement of the vehicle, the peak value of the four signals received by the receiver is constantly changing. The receiver detects the relevant peaks from the four traffic light signals and communicates with the traffic lights which have the maximum correlation peak. The problem of signal source switching is solved effectively. The experimental results show that the proposed system can achieve seamless switching between four-way LED traffic lights at the crossing, and the bit error rate of the system is 10^?4–10^?7.     

Clustering and maximal flow in vehicular traffic through a sequence of traffic lights

We study the maximal current (maximum traffic capacity) of vehicular traffic through a sequence of traffic lights on a highway, where all signals turn on and off synchronously. The dynamical model of vehicular traffic controlled by signals is expressed in terms of a nonlinear map, where the excluded-volume effect is taken into account. The dynamical behaviors of vehicles are clarified by analyzing traffic patterns. The clustering of vehicles varies with the cycle time of signals. The maximum current is closely connected to vehicular clustering. Clustering of vehicles is controlled by varying both split and cycle time of signals. The dependence of the maximal current on both split and cycle time is derived.     

Nonlinear-map model for split effect on vehicular traffic through periodic signals

We study the effects of both split and cycle time on dynamical behavior of vehicles moving through a sequence of traffic lights on a highway, where the traffic lights turn on and off periodically. The dynamical model of vehicular traffic controlled by signals is expressed in terms of a nonlinear map. The vehicle exhibits complex behavior with varying split and cycle time. The tour time between signals shows a self-similar behavior. When split s_p is lower than 0.5, vehicular traffic shows a similar behavior as that of s_p=0.5, while vehicular traffic of s_p  >0.5 is definitely different from that of _sp?0.5$s_p?0.5$. The algebraic expression among the tour time, cycle time, and split is derived.     

Influence of bus stop with left-turn lines between two adjacent signalized intersections

Based on the symmetric two-lane Nagel–Schreckenberg(STNS) model, a three-lane cellular automaton model between two intersections containing a bus stop with left-turning buses is established in which model the occurrences of vehicle accidents are taken into account. The characteristics of traffic flows with different ratios of left-turn lines are discussed via the simulation experiments. The results indicate that the left-turn lines have more negative effects on capacity,accident rate as well as delay if the stop is located close to the intersections, where the negative effect in a near-side stop is more severe than that in a far-side one. The range of appropriate position for a bus stop without the bottleneck effect becomes more and more narrow with the increase of the ratio of left-turn bus lines. When the inflow is small, a short signal cycle and a reasonable offset are beneficial. When the inflow reaches or exceeds the capacity, a longer signal cycle is helpful. But if the stop position is inappropriate, the increase of cycle fails in reducing the negative effect of left-turning buses and the effectiveness of offset is weakened.     

Effect of signals on two-route traffic system with real-time information

We study the effect of signals on the vehicular traffic in the two-route system at the tour-time feedback strategy where the vehicles move ahead through a series of signals. The Nagel–Schreckenberg model is applied to the vehicular motion. The traffic signals are controlled by both cycle time and split. The tour times on two routes fluctuate periodically and alternately. The period increases with decreasing the split. Also, the tour time on each route varies with time by synchronizing with the density. The dependences of tour times and densities on both split and cycle time are clarified.     

Vehicular motion in 2D city traffic network with signals controlled by phase shift

We study the dynamic behavior of vehicular traffic through the series of traffic lights controlled by phase shift in two-dimensional (2D) city traffic network. The nonlinear-map model is presented for the vehicular traffic. The city traffic network is made of one-way perpendicular streets arranged in a square lattice with traffic signals where vertical streets are oriented upwards and horizontal streets are oriented rightwards. There are two traffic lights for the movement to north or that to east at each crossing. The traffic lights are controlled by the cycle time, split, and phase shift. The vehicle moves through the series of signals on a path selected by the driver. The city traffic with a heterogeneous density distribution is also studied. The dependence of the arrival time on cycle time, split, phase shift, selected path, and density is clarified for 2D city traffic. It is shown that the vehicular traffic is efficiently controlled by the phase shift.     

Vehicular motion in counter traffic flow through a series of signals controlled by a phase shift

We study the dynamical behavior of counter traffic flow through a sequence of signals (traffic lights) controlled by a phase shift. There are two lanes for the counter traffic flow: the first lane is for east-bound vehicles and the second lane is for west-bound vehicles. The green-wave strategy is studied in the counter traffic flow where the phase shift of signals in the second lane has opposite sign to that in the first lane. A nonlinear dynamic model of the vehicular motion is presented by nonlinear maps at a low density. There is a distinct difference between the traffic flow in the first lane and that in the second lane. The counter traffic flow exhibits very complex behavior on varying the cycle time, the phase difference, and the split. Also, the fundamental diagram is derived by the use of the cellular automaton (CA) model. The dependence of east-bound and west-bound vehicles on cycle time, phase difference, and density is clarified.     

基于H-PPM的可见光通信系统RS编码性能分析

为了改善复杂交通环境下湍流信道的光强闪烁对信号的影响,研究了大气湍流光强闪烁的系统模型,并且针对PPM和DPIM等调制方法存在的问题,提出一种新型的无线光通信调制方法——头脉冲位置调制(head pulse position modulation,H-PPM)。根据湍流信道的特点,推导出基于H-PPM的可见光通信系统未编码时与RS(Reed-Solomon)码纠错后的误时隙率公式。数值仿真曲线证明,当系统误码率为10-10时,RS(15, 7)纠错码可以提高约18 dB的编码增益。由此可得,采取H-PPM调制和RS编码相结合可提高信号的质量,更有利于复杂交通环境下的可见光通信。     

Randomness control of vehicular motion through a sequence of traffic signals at irregular intervals

We study the regularization of irregular motion of a vehicle moving through the sequence of traffic signals with a disordered configuration. Each traffic signal is controlled by both cycle time and phase shift. The cycle time is the same for all signals, while the phase shift varies from signal to signal by synchronizing with intervals between a signal and the next signal. The nonlinear dynamic model of the vehicular motion is presented by the stochastic nonlinear map. The vehicle exhibits the very complex behavior with varying both cycle time and strength of irregular intervals. The irregular motion induced by the disordered configuration is regularized by adjusting the phase shift within the regularization regions.