高速公路入口匝道的模糊逻辑控制及辅助方案设计

为保证高速公路主线安全、畅通与舒适运行,减少对相连道路的影响,构造了匝道逻辑模糊控制器,提出了三种入口匝道辅助设计方案。结合工程实际,选择了上游车流密度、下游车流密度和入口处等待车辆的总长度作为模糊控制器的输入量,入口匝道的调节率为输出量。计算结果表明,随着入口匝道车辆数量的增加,高速公路主线下游的车速将明显下降,根据主线上、下游车流密度及匝道车辆的数量变化,计算出不同的匝道调节率,通过对高速公路入口匝道的调节率进行实时调节,可控制匝道上车辆的进入,入口匝道辅助方案的实施可缓解与高速公路相连道路的拥堵,对改善高速公路运行安全和效率具有重要的作用。     

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首先分析了快速路入口匝道排队导致地面交通拥堵的现象,然后综合考虑快速路主线交通流密度和入口匝道排队长度两个因素,提出了一种基于神经元自适应PID控制的快速路入口匝道控制策略。与传统的入口匝道调节方法ALINEA相比,新方法将快速路系统和平面道路系统有机的结合起来,仅略微地增加快速路交通流密度,且对快速路的负面影响较小,有效降低了入口匝道排队长度并消除了入口匝道回溢现象与快速路交通拥挤的反复振荡现象,对于实际应用中的随机干扰具有良好的抑制能力,提高了整个交通网络的运行效率。最后通过仿真对新方法进行了说明和验证。     

阀位指示器及其指示调节

简要叙述了浸液式液压驱动蝶阀阀位指示器的主要结构及工作原理,并介绍了阀位指示器正确调节方法。     

电动汽车充电桩电能计量相关问题研究

根据中央关于加快"新基建"的决策部署,国内将大力推动充电桩建设。作为实施强制管理的计量器具,充电桩的准确计量可确保电能交易公平公正,支撑国家经济社会高质量发展,满足人民低碳绿色出行需求。文中针对电动汽车充电桩电能计量相关问题进行了探讨,首先分别采集了运行全过程中工频交流输入侧和直流输出侧电压与电流的实时波形曲线,其次利用matlab软件和FFT运算对波形数据进行了详细分析,最后验证了现有符合国家标准的交/直流电能表均可满足充电桩计量要求。     

Two-class freeway traffic regulation to reduce congestion and emissions via nonlinear optimal control

The objective of this paper is the regulation of freeway traffic by means of optimal control techniques. A first innovative aspect of the proposed approach is the adopted objective function in which, besides the reduction of traffic congestion (which is typically considered in traffic control schemes), the minimization of traffic emissions is also included. Moreover, a multi-class framework is defined in which two classes of vehicles (cars and trucks) are explicitly modelled, and specific control actions for each vehicle class are sought. This results in the formulation of a multi-objective optimal control problem which is described in the paper and for which a specific solution algorithm is developed and used. The algorithm exploits a specific version of the feasible direction algorithm whose effectiveness is demonstrated in the paper by means of simulation results.     

Genetic algorithm-based simulation optimization of the ALINEA ramp metering system: a case study in Atlanta

ABSTRACT

This paper presents a case study of the optimal ALINEA ramp metering system model of a corridor of the metro Atlanta freeway. Based on real-world traffic data, this study estimates the origin-destination matrix for the corridor. Using a stochastic simulation-based optimization framework that combines a micro-simulation model and a genetic algorithm-based optimization module, we determine the optimal parameter values of a combined ALINEA ramp metering system with a queue flush system that minimizes total vehicle travel time. We found that the performance of ramp metering with optimized parameters, which is very sensitive possibly because bottlenecks are correlated, outperforms the no control model with its optimized parameters in terms of reducing total travel time.     

大宗散货计量中的实物检定装置研制

介绍目前国内外在散装货运输中的 3种重量计量设备 ,简述作者研制成功的“双秤取动累加称量装置”的概况 ,包括装置的工作原理、结构、称重控制、物料输入控制 ,以及整台设备使用结果分析等 ,最后介绍为试验而模拟使用“双秤并联试验机”的概况。该实物检定装置已于 2 0 0 1年 4月 5日通过由交通部科技司组织的鉴定和验收。     

曹妃甸油田多相流量计应用的改造与升级

针对多相流量计在海上油气开发生产中的某些不完善的地方,根据曹妃甸油田过去几年来的应用、维护经验,对油田多相流量计进行改造和升级,改造前后对比与分析表明,整体效果良好。     

城市快速道路交通流建模和控制

首先回顾城市快速路宏观流体模型的发展，简析常用模型的推导建立过程，讨论宏观模型的使用。然后，以入口匝道流量调节作为受控快速路系统的控制输入，构造城市快速路交通流动态控制模型及最优控制问题，采用多层分散控制思想，给出一种实用的准最佳控制方法，通过交通仿真说明其有效性。     

A self-learning system for local ramp metering with queue management

This paper presents the design and evaluation process of a self-learning system for local ramp metering control. This system is developed on the basis of reinforcement learning (RL) and can deal with the problem of on-ramp queue management through a continuous learning process. A general framework of the system design including the definition of RL elements and an algorithm that can accomplish the learning process is proposed. Simulation tests are carried out to evaluate the performance of the new system. In terms of the total time spent by road users, the new system can achieve a 30% reduction from the situation of no control, a result which is competitive with the widely accepted algorithm ALINEA. Meanwhile, simulation results show that the new system can keep on-ramp queues strictly under a series of pre-specified constraints, which proves its capability of managing on-ramp queues.