基于机动车排放的交叉口信号控制仿真与分析

结合微观仿真元胞自动机模型和机动车排放MOVES模型，以十字信号控制交叉口为仿真对象，研究交叉口信号配时与机动车排放之间的关系.元胞自动机模型将交叉口和路段划分为3.5 m×3.5 m的元胞，每辆车占2 个元胞，交叉口内转弯车辆减速慢行，直行车辆速度不受限制，提高了交通仿真的真实性和机动车排放测算的准确性.仿真结果表明：最佳信号周期随着车辆到达率的增加而增加，使得交叉口通行效率达到最大化；行程时间随着左转车比例的增加而增加，对于不同的车辆到达率，均存在一个极限值，当左转车比例低于该极限值时，行程时间变化不大，高于该极限值时，行程时间快速增加；从通行能力、行程时间和尾气排放的角度，交叉口具有不同的最佳信号周期，且差异较大.     

基于GSM-R的机车信号远程动态监测系统

介绍了基于GSM-R的机车信号远程动态监测系统的组网结构、通信原理、技术特点.并对承栽机车信号远程动态监测的GPRS网络进行了网络功能分析,提出了具体网络设置、维护方面的建议.     

一种铁路微机联锁进路搜索的实现方法

介绍一种微机联锁进路搜索的实现方法,对不同的信号节点进行分析、定义,给出如何避免往返搜索和防止搜索出错误迂回进路的方法,最后给出完整的程序流程图并对每一步进行详细说明。     

对西部地区铁路信号挖潜改造的研究

本文针对西部地区提速改造,从提高机车信号可靠性、机车信号逐步替代主体信号、完善提速道岔、合理延长列车进路接近区段、加强提高微机监测功能等重要方面,进行了研究探讨,提出了见解和办法。     

青藏铁路信号微机网络监测系统

对信号微机网络监测系统进行了简要分析,根据青藏铁路特殊的地理条件和气候条件,对信号微机网络监测系统的结构提出了改进建议。同时本文对该系统的硬件结构,以及软件设计过程中应注意的一些问题进行了探讨。     

基于TMS320F2812的水下电磁场信号采集与处理单元设计

为了实现水下多传感器节点系统的电磁场信号采集、处理以及处理结果的长距离传输,提出了1种基于定点DSP芯片TMS320F2812的水下电磁场信号采集与处理单元设计方案,以该芯片作为单元的核心来完成信号采集与处理,并将处理结果通过CAN总线网络进行传输。文中给出了相应的硬件实现和软件设计,其中对DSP的信号处理方法与CAN接口配置做出了较为详细的介绍。基于该方案的信号采集与处理单元已经研制完成,并在系统原理样机中得到成功应用。试验结果表明,该单元在系统中工作正常、性能稳定。     

多速信号处理中采样率转换的DSP实现

采样速率转换是现代数字信号处理领域中一个重要组成部分,在通信、雷达等领域有广泛应用。论文首先介绍了信号内插、抽取及采样率转换的基本原理并给出了Matlab仿真结果。然后给出了基于DSP的采样率转换设计与实现,并分析了相关汇编注意事项和结果。     

Data-driven linear decision rule approach for distributionally robust optimization of on-line signal control

We propose a two-stage, on-line signal control strategy for dynamic networks using a linear decision rule (LDR) approach and a distributionally robust optimization (DRO) technique. The first (off-line) stage formulates a LDR that maps real-time traffic data to optimal signal control policies. A DRO problem is solved to optimize the on-line performance of the LDR in the presence of uncertainties associated with the observed traffic states and ambiguity in their underlying distribution functions. We employ a data-driven calibration of the uncertainty set, which takes into account historical traffic data. The second (on-line) stage implements a very efficient linear decision rule whose performance is guaranteed by the off-line computation. We test the proposed signal control procedure in a simulation environment that is informed by actual traffic data obtained in Glasgow, and demonstrate its full potential in on-line operation and deployability on realistic networks, as well as its effectiveness in improving traffic.     

信号交叉口服务水平评价体系指标的分析及应用

确定一种适合我国信号交叉口服务水平的评价体系和划分标准,一直是众多专家学者研究的课题。在对各种评价指标进行内在相关性分析的前提下,从理论上确定了评价的指标和分级标准,并以一个典型十字型信号交叉口为例,从使用者的角度出发把对非机动车道的评价也考虑进来,对该典型交叉口进行了综合评价。     

Coordinated transit signal priority supporting transit progression under Connected Vehicle Technology

In this paper, a person-delay-based optimization method is proposed for an intelligent TSP logic that enables bus/signal cooperation and coordination among consecutive signals under the Connected Vehicle environment. This TSP logic, called TSPCV-C, provides a method to secure the mobility benefit generated by the intelligent TSP logic along a corridor so that the bus delay saved at an upstream intersection is not wasted at downstream intersections. The problem is formulated as a Binary Mixed Integer Linear Program (BMILP) which is solved by standard branch-and-bound method. Minimizing per person delay has been adopted as the criterion for the model. The TSPCV-C is also designed to be conditional. That is, TSP is granted only when the bus is behind schedule and the grant of TSP causes no extra total person delay.The logic developed in this research is evaluated using both analytical and microscopic traffic simulation approaches. Both analytical tests and simulation evaluations compared four scenarios: without TSP (NTSP), conventional TSP (CTSP), TSP with Connected Vehicle (TSPCV), and Coordinated TSP with Connected Vehicle (TSPCV-C). The measures of effectiveness used include bus delay and total travel time of all travelers. The performance of TSPCV-C is compared against conventional TSP (CTSP) under four congestion levels and five intersection spacing cases. The results show that the TSPCV-C greatly reduces bus delay at signalized intersection for all congestion levels and spacing cases considered. Although the TSPCV is not as efficient as TSPCV-C, it still demonstrates sizable improvement over CTSP. An analysis on the intersection spacing cases reveals that, as long as the intersections are not too closely spaced, TSPCV can produce a delay reduction up to 59%. Nevertheless, the mechanism of TSPCV-C is recommended for intersections that are spaced less than 0.5 mile away. Simulation based evaluation results show that the TSPCV-C logic reduces the bus delay between 55% and 75% compared to the conventional TSP. The range of improvement corresponding to the four different v/c ratios tested, which are 0.5, 0.7, 0.9 and 1.0, respectively. No statistically significant negative effects are observed except when the v/c ratio equals 1.0.