基于机器视觉的智能车辆前方道路边界及车道标识识别方法综述

为了全面了解国内外在基于机器视觉的智能车辆前方道路边界及车道标识识别领域的研究进展，文章介绍了近年来一些典型的基于机器视觉的道路边界及车道标识识别系统，对基于机器视觉的前方道路边界及车道标识识别方法进行了分类，对各大类方法中采用的不同技术进行了阐述，然后对基于机器视觉与其他传感器融合的识别方法进行了总结，最后就该领域的研究难点及发展趋势进行了简要论述。     

智能交通系统及其车辆自动控制技术

本文简要介绍了智能交通系统的概念、发展状况、基本内容和研究开发过程，进一步阐述了智能交通系统中的先进车辆控制技术。综述了汽车纵向控制、横向控制、自动驾驶及车列控制。最后，对我国如何发展智能交通系统和先进车辆自动控制技术进行了探讨。     

A study of the environmental impacts of intelligent automated vehicle control at intersections via V2V and V2I communications

This article presents a novel intersection traffic management system for automated vehicles and quantifies its impact on fuel consumption and greenhouse gas emissions of CO₂ relative to traditional traffic signal and roundabout intersection control. The developed intelligent traffic management (ITM) techniques, which are based on a spatiotemporal reservation scheme, ensure that vehicles proceed through the intersection without colliding with other vehicles while at the same time reducing the intersection delay and environmental impacts. Specifically, the spatiotemporal reservation scheme provides each vehicle a collision-free path that is decomposed into a speed profile along with navigational instructions. The integration of the developed microscopic traffic simulator with instantaneous emission model, provides improved assessments of the environmental impact of traffic control strategies at intersections. The simulator architecture integrates several ITM algorithms, vehicle sensors, V2V/V2I communications, and emission and fuel consumption models. Each vehicle is modeled by an agent and each agent provides information depending on the specific vehicle sensors. The ITM system is supported by V2V and V2I communications, allowing the exchange of information among vehicles and infrastructure. The data include the estimated vehicle position and speed. Compared with traditional traffic management techniques, the simulation results prove that the proposed ITM system reduces CO₂ emissions significantly. The research also shows that these reductions are more significant when the traffic flow increases.     

A new methodology for incident detection and characterization on surface streets

In this paper, a new methodology is presented for real-time detection and characterization of incidents on surface streets. The proposed automatic incident detection approach is capable of detecting incidents promptly as well as characterizing incidents in terms of time-varying lane-changing fractions and queue lengths in blocked lanes, lanes blocked due to incidents, and incident duration. The architecture of the proposed incident detection approach consists of three sequential procedures: (1) Symptom Identification for identification of incident symptoms, (2) Signal Processing for real-time prediction of incident-related lane traffic characteristics and (3) Pattern Recognition for incident recognition. Lane traffic counts and occupancy are the only two major types of input data, which can be readily collected from point detectors. The primary techniques utilized in this paper include: (1) a discrete-time, nonlinear, stochastic system with boundary constraints to predict real-time lane-changing fractions and queue lengths and (2) a pattern-recognition-based algorithm employing modified sequential probability ratio tests (MSPRT) to detect incidents. Off-line tests based on simulated as well as video-based real data were conducted to assess the performance of the proposed algorithm. The test results have indicated the feasibility of achieving real-time incident detection using the proposed methodology.     

铁路集装箱中心站智能大门信息系统集成设计

本文从铁路集装箱中心站智能大门功能入手，讨论智能大门信息系统构成及系统业务流程，论述中心站智能大门建设的必要性及可行性。     

在线检验技术在重卡行业中的应用

工业2025智能智造核心之一为大规模个性化定制产品的柔性协同生产。产品的多样性、差异性给生产检验环节带来了新的课题,如何高效的检验批量差异产品。通过丰富的传感器和摄像头数据采集,系统比对、结果跟踪组成生产在线检验系统。提升了生产环节产品检验效率,保证产品质量和一致性。     

Fuzzy-logic-based incident detection for signalized diamond interchanges

This paper documents a fuzzy-logic-based incident detection algorithm for signalized urban diamond interchanges. The model is capable of detecting lane-blocking incidents whose effects are manifested by patterns of deterioration in traffic conditions that require adjustments in signal control strategies. As a component of a real-time traffic adaptive control system for signalized diamond interchanges, the algorithm feeds an incident report (i.e., the time, location, and severity of the incident) to the system's optimization manager, which uses that information to determine the appropriate signal control strategy.The performance of the model was studied using a simulation of an actual diamond interchange. The simulation study evaluated the model's performance in terms of detection rate, false alarm rate, and mean time to detect. The model's performance was encouraging, and the fuzzy-logic-based approach is considered promising.     

智能网联技术应用于混合动力汽车探析

文章简要介绍了混合动力汽车和智能网联技术的研究现状,阐明了混合动力汽车与智能网联技术相结合的意义。着重论述了在智能网联环境下混合动力汽车进行能量管理的优势以及混合动力汽车实现智能网联的技术要求,最后对未来二者的依托发展进行了展望。     

基于支持向量机的水下机器人操纵运动参数辨识

根据平面运动机构试验所得到的水动力系数确定水下运载器的运动方程,应用最小二乘支持向量机对水下运载器的试验数据进行分析,辨识得到了水动力系数,并将辨识得到的参数同平面运动机构试验所确定的参数相比,验证了最小二乘支持向量机进行水下运载器操纵运动参数辨识的有效性。根据所辨识的水动力系数进行了模型验证,证明所辨识得到的水动力参数是可靠的。该方法对水下运载器的操纵和控制的研究有重要意义。     

基于自律分散技术的快速公交智能调度系统设计研究

自律分散技术是一种国际上的新型技术,现已被广泛应用到各个相关领域.快速公交是近年来公交系统发展的重要方向,本文从功能需求的角度出发,运用自律分散技术,对快速公交智能调度系统进行横向和纵向结构的设计研究,从而为快速公交系统的发展研究提供一个新的思路,具有一定的指导和借鉴意义.