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2012 12th International Conference on ITS Telecommunications最新文献

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Emergency incident management system for community safety services (EIMS) 社区安全服务紧急事件管理系统
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425294
Shu-Hui Lin, E. Wu, Ming-Hui Jin
EIMS is a stable and safe communication system. It integrates the communication of citizen patrols and police units. When unexpected emergency happens, the system can enhance the citizen patrols' communications capabilities, decrease the time in communication and response, and reduce the loss of life and property. There are five citizen patrols implemented EIMS in northern Taiwan. They have enhanced the capacity of community citizen patrols. And, there are more than 1,500 residents to enjoy the efficient of its system.
EIMS是一种稳定、安全的通信系统。它整合了公民巡逻队和警察部队的通讯。当突发事件发生时,提高市民巡逻的通信能力,减少沟通和响应时间,减少生命财产损失。在台湾北部有5个公民巡逻队实施了EIMS。他们加强了社区公民巡逻的能力。而且,有1500多名居民享受到该系统的高效。
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引用次数: 4
Analysis of average packet acquisition time on wireless butterfly-typed network coding scheme 无线蝴蝶型网络编码方案的平均包获取时间分析
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425227
Hiroyuki Higano, H. Habuchi, K. Hashiura
In this paper, the wireless butterfly-typed network coding scheme is considered. The average packet acquisition time of the wireless network coding scheme is evaluated by theoretical analysis. The effect of the wireless network coding scheme is shown by comparing with the system without network coding scheme. Consequently, it is shown that the wireless network coding scheme is superior to the system without network coding scheme in the reliable channel environment. However, when the distance between nodes becomes longer, the network coding scheme has no effect on shortening of average packet acquisition time.
本文研究了无线蝴蝶型网络编码方案。通过理论分析,评估了无线网络编码方案的平均包获取时间。通过与无网络编码方案的系统进行比较,说明了无线网络编码方案的效果。结果表明,在可靠信道环境下,无线网络编码方案优于无网络编码方案的系统。然而,当节点之间的距离变长时,网络编码方案对平均包获取时间的缩短没有影响。
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引用次数: 0
Verification of smart guiding system to search for parking space via DSRC communication 验证智能引导系统通过DSRC通信寻找停车位
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425287
C. Hsu, M. H. Shih, Hou-Yu Huang, Y. Shiue, S. Huang
A traditional parking field is managed by manpower, and perhaps there are also plenty of advanced areas which are auxiliary installed or embedded with IR equipment or marked lines. However, this kind of state is constrained with limit service and bounded. This paper presents an innovative concept of services for parking guidance. Driver can make a reservation by smart phone or tablet pc in thirty minutes before, and furthermore the service platform will book a parking lot using vehicle ID. When vehicle pass through the entrance of parking area, the location of reserved parking lot will be marked in a customized map and transmitted to in-vehicle device using DSRC. After driver parks his vehicle to scheduled parking lot, parking server will send a message to driver or in-vehicle device in order to log the final vehicle location and heading. The developed system, which is named as SmartValet, is also available in underground parking area or interior of the building. The autonomous ability is integrated different sensors to offer robots or remotely operated systems a reliable navigation means. It addresses a global and all weather navigation design based on GPS, gear-box speed, odometry and inertial measurement in dead reckoning and data fusion. Positioning uncertainty will grow with time as a result of integration error so the performance will lose accuracy. To solve this shortcoming with error bounded, this paper uses a creative idea which driver clicks and drags touch panel to give a new position and heading. The proposed system which utilizes DSRC devices, inertial sensors and vehicle network information is implemented with theoretical application and hardware integration, and furthermore the result shows navigation ability and approach applicability.
传统的停车场是由人力管理的,也许也有很多先进的区域辅助安装或嵌入了红外设备或标记线。然而,这种状态受服务限制和有界约束。本文提出了一种创新的停车引导服务理念。司机可以通过智能手机或平板电脑提前30分钟预约,服务平台还会使用车辆ID预约停车场。当车辆通过停车场入口时,预留停车场的位置将被标记在定制地图上,并通过DSRC传输到车载设备。当驾驶员将车辆停到预定的停车场后,停车服务器将向驾驶员或车载设备发送信息,以记录车辆的最终位置和方向。该系统被命名为SmartValet,也可以在地下停车场或建筑物内部使用。自主能力集成了不同的传感器,为机器人或远程操作系统提供可靠的导航手段。它解决了一种基于GPS、齿轮箱速度、里程计和惯性测量在航位推算和数据融合的全球和全天候导航设计。由于积分误差的存在,定位不确定性会随着时间的推移而增大,从而使性能失去精度。为了解决误差有界的缺点,本文采用了驾驶员点击和拖动触摸屏来给出新的位置和方向的创意。利用DSRC器件、惯性传感器和车辆网络信息,对该系统进行了理论应用和硬件集成,结果表明该系统具有良好的导航能力和方法适用性。
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引用次数: 32
Communication architecture based on intelligent autonomous vehicles for container terminals 基于集装箱码头智能自动驾驶车辆的通信架构
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425285
Kechar Bouabdellah, H. Haffaf
Automated container terminal is one of the most important confined areas that have attracted extensive research interests over last decade. To improve productivity, as well as enhance operational efficiency of a sea port, automated container terminals must play an important role in global cargo transportation by saving energy consumption, reducing the service cost and increasing the cargo throughput. To achieve these requirements, the development of reliable heterogeneous communication system among all communicating objects such as Intelligent Autonomous Vehicles (IAV), Confined Base Station (CBS) and RFID-based container that communicate inside container terminals, becomes a paramount objective. This communication system has specific challenges comparing to classical vehicular communication systems ones by emphasizing mainly on IAV-to-IAV, IAV-to-CBS and IAV-to- RFID-based container communications. Our aim in this paper is to introduce the IAV architecture dealing with IAVs based communication system, and then present candidate communication technologies for port container terminals. Further discussions about challenging issues will also be provided.
自动化集装箱码头是近十年来引起广泛研究兴趣的一个重要的受限领域。为了提高生产力,提高海港的运营效率,自动化集装箱码头必须通过节省能源消耗、降低服务成本和增加货物吞吐量,在全球货物运输中发挥重要作用。为了实现这些要求,在所有通信对象之间开发可靠的异构通信系统,如智能自动驾驶汽车(IAV)、受限基站(CBS)和基于rfid的集装箱在集装箱码头内通信,成为一个首要目标。与传统的车载通信系统相比,该通信系统具有特定的挑战,主要强调基于iav到iav, iav到cbs和基于iav到rfid的容器通信。本文的目的是介绍基于IAV的通信系统的IAV体系结构,并提出港口集装箱码头的候选通信技术。还将就具有挑战性的问题进行进一步讨论。
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引用次数: 2
Deployment of a real Vehicular Delay-Tolerant Network testbed 一种真实车载容延迟网络试验台的部署
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425144
Maicke C. G. Paula, J. Rodrigues, João A. Dias, João N. Isento, A. Vinel
Vehicular Delay-Tolerant Networks (VDTNs) were proposed as a novel disruptive networks based on the delay tolerant networking (DTN) paradigm. VDTN architecture uses vehicles to relay data, enabling network connectivity in challenging scenarios. This architecture uses the store-carry-and-forward parading allowing messages reaching their destination by hopping over nodes. This paper presents an evaluation study performed through a real-world VDTN testbed using two applications: Warning Message and Traffic Jam Information. It also validates the real deploy of this new vehicular communication approach. Because the laboratory environment does not accomplished several complex issues presented in vehicular communication systems, this real testbed is an important contribution. The real deployment of VDTN is confirmed by the results. This deployment is possible and this can be seen as a very promising technology for vehicular communications, although it is required appropriated technologies for outline interferences and quality of service support.
车辆容忍延迟网络(VDTNs)是一种基于容忍延迟网络(DTN)模式的新型中断网络。VDTN架构使用车辆中继数据,在具有挑战性的场景中实现网络连接。该体系结构使用存储-携带-转发巡游,允许消息通过跳过节点到达目的地。本文介绍了一项通过现实世界的VDTN测试平台进行的评估研究,使用了两个应用程序:警告消息和交通阻塞信息。它还验证了这种新型车载通信方法的实际部署。由于实验室环境不能完成车载通信系统中出现的一些复杂问题,因此这个真实的测试平台是一个重要的贡献。仿真结果验证了VDTN的实际部署。这种部署是可能的,这可以被视为一种非常有前途的车载通信技术,尽管它需要针对轮廓干扰和服务质量支持的适当技术。
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引用次数: 3
Cloud computing based taxi dispatching service 基于云计算的出租车调度服务
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425214
Wei-Lung Chen, Jason Chang, Ya Wen Chen, Wei-Yao Chou
Taxi service in Taipei Metropolitan is an industry which is full of information asymmetry. Due to taxi service distribution inefficiently, extra supply exists in terms of time and space in service area. In order to decrease the difference of supply and demand, this study proposes a cloud computing based taxi dispatching service- Cloud Taxi. All the driving behaviors are recorded in the system and are transformed into business insight for the taxi driver. Meanwhile, several innovative services are delivered to the end users. Finally, the information generated by Cloud Taxi would be a strong reference for government to foster and manage the industry.
台北都市出租车服务是一个充满信息不对称的行业。由于出租车服务分配效率低下,在服务区域内存在着时间和空间上的超额供给。为了减少供需差异,本研究提出一种基于云计算的出租车调度服务——云出租车。所有的驾驶行为都记录在系统中,并转化为出租车司机的业务洞察。同时,向终端用户提供多项创新服务。最后,云出租车产生的信息将为政府培育和管理该行业提供强有力的参考。
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引用次数: 2
Using VANET to support green vehicle communications for urban operation rescue 利用VANET支持城市运营救援的绿色车辆通信
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425313
R. M. Noor, R. Khokhar, M. Sattari, S. Khorsandroo, Norazlina Khamis, M. Oche
The paper presents a model of operation rescue and group vehicle approach to support green vehicle communication for urban operation rescue. Using vehicular technology could benefit operation rescue vehicles by enabling each vehicle spreads the information related before arriving at the incident place. In an effort to understand the operation rescue activities, studies on the case study are briefly discussed. Green vehicle communications requirements are presented to show the significance of using vehicular technology. Experiments using NS-2 to measure the average delay time per trip and average throughput for three different scenarios are presented.
提出了一种运行救援模型和支持城市运行救援绿色车辆通信的组车方法。使用车载技术可以使每辆车在到达事故地点之前传播相关信息,从而有利于救援车辆的操作。为了更好地理解操作救援活动,本文对案例研究进行了简要讨论。提出了绿色车载通信的要求,以说明利用车载技术的重要性。给出了利用NS-2测量三种不同场景下每趟平均延迟时间和平均吞吐量的实验。
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引用次数: 9
Driving skill analysis using machine learning The full curve and curve segmented cases 运用机器学习分析驾驶技能的全曲线和曲线分段情况
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425238
N. P. Chandrasiri, Kazunari Nawa, Akira Ishii, Shuguang Li, Shigeyuki Yamabe, T. Hirasawa, Yoichi Sato, Y. Suda, Takeshi Matsumura, Koji Taguchi
Analysis of driving skill/driver state can be used in building driver support and infotainment systems that can be adapted to individual needs of a driver. In this paper we present a machine learning approach to analyzing driving maneuver skills of a driver that covers both longitudinal and lateral controls. The concept is to learn a driver model from sensor data that are related to driving environment, driving behavior and vehicle response. Once the model is built, driving skills of an unknown run can be classified automatically. In this paper, we demonstrate the feasibility of the proposed method for driving skill analysis based on a driving simulator experiment in a curve driving scene for both the full curve and curve segmented cases.
对驾驶技能/驾驶员状态的分析可以用于构建驾驶员支持和信息娱乐系统,这些系统可以适应驾驶员的个人需求。在本文中,我们提出了一种机器学习方法来分析驾驶员的驾驶机动技能,包括纵向和横向控制。其概念是从与驾驶环境、驾驶行为和车辆响应相关的传感器数据中学习驾驶员模型。建立模型后,可以对未知路段的驾驶技能进行自动分类。在本文中,我们通过驾驶模拟器实验,在曲线驾驶场景中对全曲线和曲线分段情况进行了驾驶技能分析,验证了该方法的可行性。
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引用次数: 14
The MIMO OFDM receiver with mismatched transmit carrier frequency offsets 发射载波频偏不匹配的MIMO OFDM接收机
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425300
D. Chang
The combination of multiple-input multiple-output (MIMO) and orthogonal frequency division multiplexing (OFDM) has been adopted as the next-generation wireless LAN technology. In this paper, we consider the design of a 2×2 space-time block coded (STBC) MIMO-OFDM baseband receiver with different carrier frequency offsets between transmit antennas due to an antenna resistance match problem. We propose a new carrier frequency offset tracking algorithm to estimate the mismatch of carrier frequency offsets between two transmit antennas. As the carrier frequency mismatch is corrected at transmitters via the side information channel, the performance of the MIMO OFDM receiver can approach the result without carrier frequency offsets. The overall receiver is also designed on the Xilinx FPGA with an implementation loss of about 1.5 dB.
多输入多输出(MIMO)和正交频分复用(OFDM)技术的结合已成为下一代无线局域网技术。在本文中,我们考虑设计一个2×2空时块编码(STBC) MIMO-OFDM基带接收机,由于天线电阻匹配问题,发射天线之间的载波频率偏移不同。提出了一种新的载波频偏跟踪算法来估计两个发射天线之间的载波频偏不匹配。由于在发射机处通过侧信息信道对载波频率失配进行了校正,MIMO OFDM接收机的性能可以在没有载波频率偏移的情况下接近结果。整个接收机也在Xilinx FPGA上设计,实现损耗约为1.5 dB。
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引用次数: 2
Speed estimation based on multiple kernel learning 基于多核学习的速度估计
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425176
Chao Wei, Jianli Xiao, Yuncai Liu
Traffic state identification is one of the core missions of Intelligent Transportation Systems. In order to correctly identify the state of traffic flow, the traffic speed must be obtained accurately. In Shanghai, most of the industrial loop detectors (ILDs) are installed in a single loop way. These ILDs can only detect the parameters of flow, saturation, etc., but the speed can not be detected. If the relationship between the traffic flow and speed can be mined accurately, we can obtain the speed using the flow data directly. The purpose of this study is to use multiple kernel support vector regression (MKL-SVR) algorithm to model the relationship between the traffic speed and flow, then estimate the speed accurately. Extensive experiments have been performed to evaluate the performances of the four algorithms: polynomial fitting algorithm, BP neural networks, SVR and MKL-SVR. The experimental results show that MKL-SVR has the best and most robust performances.
交通状态识别是智能交通系统的核心任务之一。为了正确识别交通流的状态,必须准确地获得交通速度。在上海,大多数工业环路检测器(ILDs)以单回路方式安装。这些ild只能检测流量、饱和度等参数,而不能检测速度。如果能够准确地挖掘交通流与车速之间的关系,就可以直接利用流量数据得到车速。本研究的目的是利用多核支持向量回归(MKL-SVR)算法对交通速度与流量之间的关系进行建模,从而准确地估计出交通速度。对多项式拟合算法、BP神经网络算法、支持向量回归算法和mkl -支持向量回归算法进行了大量的实验评价。实验结果表明,MKL-SVR具有最好的鲁棒性。
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引用次数: 3
期刊
2012 12th International Conference on ITS Telecommunications
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