深圳地铁民用通信系统的构建和经营实践

结合深圳地铁民用通信系统建设经营的理念、实践和经验,分析了地铁民用通信经营发展和努力方向,归纳了地铁民用通信系统建设经营面临的4大挑战,并从规划设计、技术选用、维护管理、建设和经营模式等方面提出了应对建议。     

高速列车宽带无线上网方案比较及电气安装要求

针对高速列车无法宽带无线上网的问题,分析比较了3种不同的解决方案和各自对电气安装的要求。车外语音加车内无线局域网,直放站配合无线局域网和微蜂窝RRU拉远这3种方案都能提供高速列车宽带无线上网。但是它们技术方案不同,导致成本、性能、布线难度不一样。可以根据工程要求选择不同的改造方案。     

城市轨道交通通信运输系统应用

分析城市轨道交通通信传输系统的功能需求和定位,以及通信网络数字化趋势下传输系统承载业务接口的发展趋势。简要介绍传统的OTN(开发式传输网络)技术、MSTP(多业务传输平台)技术,重点阐述以PTN(分组传输网络)技术作为城市轨道交通通信传输系统应用的可行性及优势,展望PTN技术在地铁中的应用前景。     

铁路列车控制系统简析

随着铁路运输的发展和科学技术的进步,列车运行控制系统也在不断发展。介绍了铁路列车控制系统的4个发展阶段,着重介绍了通信控制方式的特点及其在我国的发展,并在此基础上对其发展前景进行了展望。     

CAN局域网及J1939协议在货车和客车上的运用

叙述了CAN总线网络的特点及J1939协议的原理、内容及协议的应用。并设计最小节点实现应用J1939协议的CAN局域网的数据通信功能。     

智能压路机控制系统数据通信的实现

介绍了CAN总线及CANopen协议的技术特点,详细阐述了基于CAN总线技术的智能压路机控制系统数据通信的实现,使之达到了智能压路机的设计要求.     

公路超载超限检测控制系统的研究

针对目前公路运输中的超载超限问题,研究开发出一种固定式超载超限检测系统。该文介绍系统的主要组成、系统特点、技术路线等。对控制系统中串行通信的硬件组成及接口方式进行分析,重点论述了在Windows环境下,使用VB利用MSComm控件实现系统中串行通信的一般步骤和实现方式,较为详细地给出了公路固定超限检测系统中基于PC机的使用VB编制的控制程序。     

浅谈FAS双中心建设及设备维护

重点分析了西安局集团公司由2K数调主系统组网更新改造为FAS双中心网络的建设方法,并根据日常维护经验,列举了调度台通道故障处理、FASB简易故障判断及计表倒换试验、FASA和FASB系统与MSC之间的业务故障处理等.     

Estimating traffic volumes for signalized intersections using connected vehicle data

Recently connected vehicle (CV) technology has received significant attention thanks to active pilot deployments supported by the US Department of Transportation (USDOT). At signalized intersections, CVs may serve as mobile sensors, providing opportunities of reducing dependencies on conventional vehicle detectors for signal operation. However, most of the existing studies mainly focus on scenarios that penetration rates of CVs reach certain level, e.g., 25%, which may not be feasible in the near future. How to utilize data from a small number of CVs to improve traffic signal operation remains an open question. In this work, we develop an approach to estimate traffic volume, a key input to many signal optimization algorithms, using GPS trajectory data from CV or navigation devices under low market penetration rates. To estimate traffic volumes, we model vehicle arrivals at signalized intersections as a time-dependent Poisson process, which can account for signal coordination. The estimation problem is formulated as a maximum likelihood problem given multiple observed trajectories from CVs approaching to the intersection. An expectation maximization (EM) procedure is derived to solve the estimation problem. Two case studies were conducted to validate our estimation algorithm. One uses the CV data from the Safety Pilot Model Deployment (SPMD) project, in which around 2800 CVs were deployed in the City of Ann Arbor, MI. The other uses vehicle trajectory data from users of a commercial navigation service in China. Mean absolute percentage error (MAPE) of the estimation is found to be 9–12%, based on benchmark data manually collected and data from loop detectors. Considering the existing scale of CV deployments, the proposed approach could be of significant help to traffic management agencies for evaluating and operating traffic signals, paving the way of using CVs for detector-free signal operation in the future.     

Field tests of a dynamic green driving strategy based on inter-vehicle communication

This paper presents the design and results for field tests regarding the environmental benefits in stop-and-go traffic of an algorithmic green driving strategy based on inter-vehicle communication (IVC), which was proposed in Yang and Jin (2014). The green driving strategy dynamically calculates advisory speed limits for vehicles equipped with IVC devices so as to smooth their speed profiles and reduce their emissions and fuel consumption. For the field tests, we develop a smartphone-based IVC system, in which vehicles’ speeds and locations are collected by GPS and accelerometer sensors embedded in smartphones, and communications among vehicles are enabled by specially designed smartphone applications, a central server, and 4G cellular networks. Six field tests are carried out on an uninterrupted ring road under slow or fast stop-and-go traffic conditions. We compare the performances of three alternatives: no green driving, heuristic green driving, and the IVC-based algorithmic green driving. Results show that heuristic green driving has better smoothing and environmental effects than no green driving, but the IVC-based algorithmic green driving outperforms both. In the future, we are interested in field tests under more realistic traffic conditions.