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2012 12th International Conference on ITS Telecommunications最新文献

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Multi-hop information spreading methods for appropriate number of terminals in ERESS ERESS中适当数量终端的多跳信息传播方法
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425277
S. Katayama, Y. Takeda, T. Wada, Yong-Bok Choi, H. Okada
There have been an enormous number of victims by a number of disasters such as fires, earthquakes, terrorisms and chemical explosion around the world. In these disasters, it is very important to detect the occurrence of them as soon as possible, and evacuate people quickly. To cope with these issues, the authors are developing ERESS (Emergency Rescue Evacuation Support System). ERESS is based on Mobile Ad-hoc NETworks (MANET) and aims to reduce the number of victims in panic-type disasters. This system consists of new mobile terminals (handset size) with advanced disaster recognition algorithm and acquires sensor information such as acceleration, direction difference and walking steps. Collected information about them is used for detecting the occurrence of a disaster. However, until now, there is no suitable information spreading method for ERESS to collect their information effectively. In this paper we propose three information spreading methods which are suitable for ERESS. The proposed methods are a TTL (Time To Live) control, a transmission power control, and an integrated method using separated sectors. We show the validity of the proposed methods by computer simulations.
在世界范围内,火灾、地震、恐怖主义、化学爆炸等一系列灾害造成了大量的受害者。在这些灾害中,尽早发现灾害的发生,并迅速疏散人员是非常重要的。为了解决这些问题,作者正在开发紧急救援疏散支持系统(ERESS)。ERESS基于移动自组织网络(MANET),旨在减少恐慌型灾害中的受害者人数。该系统由新型移动终端(手机大小)组成,采用先进的灾害识别算法,获取加速度、方向差、行走步数等传感器信息。收集到的信息用于检测灾难的发生。然而,到目前为止,还没有合适的信息传播方法来有效地收集他们的信息。本文提出了三种适用于ERESS的信息传播方法。提出的方法是TTL(生存时间)控制、传输功率控制和使用分离扇区的集成方法。通过计算机仿真验证了所提方法的有效性。
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引用次数: 2
A farthest-first forwarding algorithm in VANETs VANETs中的一种最远优先转发算法
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425296
Chung-Ming Huang, Shih-Yang Lin, Shih-Hao Wang, Shih-Chin Hsu
In order to reduce the transmission delay between the source vehicle and the destination vehicle, a Farthest-First forwarding algorithm (FF) algorithm is proposed in this paper to find dissemination paths with fewer hop counts, lower transmission delay, and fewer control packets. The proposed FF algorithm utilizes the general idea of the contention-based technique to choose the farthest vehicle from a sender to be a packet forwarder, which is decided by receivers themselves. In the FF algorithm, each receiver waits for a specific time period when a packet is received. The time period is calculated based on the distance between the sender vehicle and each receiver vehicle, and the waiting time period of the farthest vehicle is always less than other nearby vehicles. When the timer expires, farthest vehicle will first forwards the packet. Although the concept of FF algorithm similar to the greedy forwarding algorithm, the message exchanging for neighboring information maintenance in the proposed FF is unnecessary. Compare to the other mechanisms, the simulation results show that of using the proposed FF algorithm can reduce the transmission delay and fewer hop counts, significantly.
为了减少源车辆与目的车辆之间的传输延迟,本文提出了一种最远优先转发算法(far - st- first forwarding algorithm, FF),以寻找跳数较少、传输延迟较低、控制数据包较少的传播路径。所提出的FF算法利用基于争用技术的一般思想,选择距离发送方最远的车辆作为数据包转发器,由接收方自己决定。在FF算法中,每个接收方在收到报文时都要等待一段时间。时间周期根据发送车辆与每辆接收车辆之间的距离计算,距离最远的车辆的等待时间总是小于附近的其他车辆。当定时器到期时,最远的车辆将首先转发数据包。虽然FF算法的概念类似于贪婪转发算法,但在该算法中,为了维护邻居信息而进行的消息交换是不必要的。与其他机制相比,仿真结果表明,采用该算法可以显著降低传输延迟和减少跳数。
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引用次数: 3
Recursive estimation of vehicle position by using navigation sensor fusion 基于导航传感器融合的车辆位置递归估计
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425236
Shun-Hung Chen, C. Hsu, S. Huang
In this paper, a sensor fusion scheme is employed to reduce positioning error of a vehicle since the GPS signal is fail. The vehicular information, such as position, heading direction, and velocity, can be obtained through GPS signal. Generally, the positioning accuracy of commercial GPS module is within the 3 meters, however, the GPS module may disconnect the signals from satellites since the vehicle is maneuvered under shelters, e.g. parking garage, tunnel, high dense urban, etc. Therefore, our proposed methodology is able to improve the estimation accuracy of vehicle position based on dead reckoning method. The first step, the Kalman filter is utilized to reject the noise of velocity measurement which is captured from gearbox and wheel speed sensor and also predict the velocity and displacement of vehicle in next sample time. The second step is to construct the displacement model of the vehicle by adopting ARMA model, which is able to estimate the state of vehicle. Digital map information which is applied to correct the positioning result of ARMA model is addressed in the last step. A real time experiment result of GPS signal lost in a tunnel is carried out to demonstrate the performance of our proposed method.
本文采用一种传感器融合方案来减小GPS信号失效时车辆的定位误差。通过GPS信号可以获取车辆的位置、行驶方向、速度等信息。商用GPS模块的定位精度一般在3米以内,但由于车辆在掩体下行驶,如停车场、隧道、高密度城市等,GPS模块可能会断开与卫星的信号。因此,本文提出的方法能够提高基于航位推算法的车辆位置估计精度。第一步,利用卡尔曼滤波对从变速箱和轮速传感器采集的测速噪声进行抑制,并预测下一采样时间内车辆的速度和位移。第二步,采用ARMA模型构建车辆位移模型,实现对车辆状态的估计。最后一步解决了利用数字地图信息对ARMA模型定位结果进行校正的问题。以隧道中GPS信号丢失的实时实验结果验证了该方法的有效性。
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引用次数: 6
A traffic information dissemination mechanism based on DSRC/WAVE and its applications 基于DSRC/WAVE的交通信息发布机制及其应用
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425258
Han Su, Cheng-Hsuan Cho, Yi-Hong Chu, W. Chang
Aiming to provide the wireless communications in some critical situations such as the data exchange between vehicle to vehicle and vehicle to infrastructure, some dedicated short range communications(DSRC) have been developed, one of those technologies named Wireless Access in Vehicular Environments(WAVE) is a suite of wireless technology IEEE 1609-family based on the standard IEEE 802.11p, which is mainly developed for avoiding the vehicle crashes and traffic accidents. In this article, we propose a mechanism based on the DSRC/WAVE and some applications based on it to deliver the traffic information so that the drivers can receive the adequate information to drive smoothly and safely.
为了在车与车、车与基础设施之间的数据交换等关键情况下提供无线通信,一些专用短距离通信技术(DSRC)已经被开发出来,其中一种称为车载环境无线接入(WAVE)技术是基于IEEE 802.11p标准的IEEE 1609系列无线技术,主要是为了避免车辆碰撞和交通事故而开发的。在本文中,我们提出了一种基于DSRC/WAVE的交通信息传递机制以及基于该机制的一些应用程序,以使驾驶员能够接收到足够的信息,从而实现平稳、安全的驾驶。
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引用次数: 6
Feasibility of traveling time estimation with mutual comparison of CVP, GVP and VD technologies 基于CVP、GVP和VD技术的行时估计的可行性
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425210
S. Tenqchen, Francis Chang, Kluo-Yueh Chen, Dong-Ling Wu, Shin-Hshun Huang
This paper proposes a feasibility study of traveling time estimation with mutual comparison of cellular-based vehicle probe (CVP), GPS-based Vehicle Probe and vehicle detection (VD) technologies. The travel time estimation algorithms have been designed for VD, CVP, GVP and some case in EVP (ETC-based Vehicle Probe). We have compared the system performance outputs at National Highway #1, Fast way #66, local governmental road #1 at Taoyuan to Jong-Li, and Sun-Moon Lake area on specific continuous holiday or working days. The outcome of this research is to target a CVP deployment with a percentage rate of 1%, a sample interval of 10 seconds and transmission interval of 30 seconds. Such a system will accurately determine the locations of both incidents and the tail end of traffic jams. It can be used to estimate travel times with mutual comparisons for VD, CVP, GVP, and EVP especially on continuous holidays. If we select the total # of NLU (number of location update) is less than 100 at local road section, then the CVP has good condition at traveling time estimation.
通过对基于蜂窝的车辆探测技术(CVP)、基于gps的车辆探测技术和车辆探测技术(VD)的相互比较,对车辆行驶时间估计进行了可行性研究。设计了VD、CVP、GVP以及EVP (ETC-based Vehicle Probe)中某些情况下的行程时间估计算法。在特定的连续假日或工作日,我们比较了1号国道、66号高速公路、桃园至钟里的1号地方政府公路和日月潭地区的系统性能输出。本研究的结果是目标CVP部署的百分比率为1%,采样间隔为10秒,传输间隔为30秒。这样的系统将准确地确定事故的位置和交通堵塞的尾部。通过相互比较VD、CVP、GVP和EVP,它可以用来估计旅行时间,特别是在连续假期。如果在局部路段选择NLU(位置更新次数)的总数小于100,则CVP具有良好的行驶时间估计条件。
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引用次数: 0
Road user positioning by RSSI combinations with pavement reflection at real intersection RSSI结合路面反射在真实交叉口进行道路用户定位
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425186
Shoma Hisaka, S. Kamijo
We have developed a dedicated onboard “sensor” utilizing wireless communication devices for collision avoidance around road intersections. The “sensor” estimates the positions of transmitters on traffic participants by comparing the strengths of signals received by four ZigBee receivers installed at the four corners of observing vehicle. In our previous work, the “sensor” was proposed as an alternative tool for collision avoidance around intersections. Herein, we extend our previous work by considering a road surface reflection model to improve the estimation accuracy. By using this model, we succeeded in reducing the error mismatches between the observed data and the calibration data of the estimation algorithm. The validity of the reflection model is verified via FDTD electro-magnetic wave propagating simulation. The proposed system will be realized on the basis of these enhancements. In addition to these improvements, we performed experiments at real intersection using customized vehicle. We report the basic evaluation of the experimental results in this paper.
我们开发了一种专用的车载“传感器”,利用无线通信设备在十字路口附近避免碰撞。“传感器”通过比较安装在观测车辆四角的四个ZigBee接收器接收到的信号强度,估计交通参与者的发射机位置。在我们之前的工作中,“传感器”被提出作为避免交叉路口碰撞的替代工具。在此,我们扩展了之前的工作,考虑了路面反射模型,以提高估计精度。通过使用该模型,我们成功地减少了观测数据与估计算法校准数据之间的误差不匹配。通过时域有限差分电磁波传播仿真验证了反射模型的有效性。拟议的系统将在这些改进的基础上实现。除了这些改进之外,我们还使用定制车辆在真实十字路口进行了实验。我们报告了实验结果的基本评价。
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引用次数: 0
A novel multicore SDR architecture for smart vehicle systems 一种新的智能汽车系统多核SDR架构
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425181
Yao-Hua Chen, Chia-Pin Chen, Pei-Wei Hsu, Chunfan Wei, Wei-Min Cheng, Hsun-Lun Huang, Tai-Yuan Cheng, Albert Y. P. Chen
A transceiver architecture with multi-core software-defined radio (SDR) technology is proposed for the physical layer inner processing of IEEE 802.11p in intelligent transportation systems (ITS). By localizing the data transmissions between the adjacent digital signal processors (DSP), concatenate memories and concatenate buses are introduced to ease the bandwidth requirement for the data communication among multicores. The proposed transceiver architecture is verified by the electronic system-level (ESL) virtual platform with two application-specific instruction-set processors (ASIP). The high level power estimation results are also provided in this paper. To enhance of the channel estimation and equalization performance of IEEE 802.11p, the capability of the proposed architecture with the decision feedback algorithm is analyzed.
针对智能交通系统(ITS)中IEEE 802.11p物理层内部处理,提出了一种采用多核软件定义无线电(SDR)技术的收发器架构。通过将相邻数字信号处理器(DSP)之间的数据传输本地化,引入了连接存储器和连接总线,以减轻多核之间数据通信的带宽要求。所提出的收发器架构由具有两个特定应用指令集处理器(ASIP)的电子系统级(ESL)虚拟平台进行验证。文中还给出了高电平的功率估计结果。为了提高IEEE 802.11p的信道估计和均衡性能,分析了采用决策反馈算法的体系结构的性能。
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引用次数: 5
Decision-directed polynomial model-based channel estimation for OFDM systems with scattered-pilots 基于决策导向多项式模型的OFDM系统信道估计
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425281
Yih-min Chen, Hsin-Yin Wu, Mong-Yo Lu
Orthogonal frequency-division multiplexing (OFDM) is an effective technique to cope with frequency-selective fading channels in broadband wireless communications. The performance of this technique depends mainly on the accuracy in channel frequency response (CFR) estimation. Most high performance channel estimation schemes exploit the correlation of the CFRs of subchannels which rely on the knowledge of channel statistics. There are also some model-based methods which are relatively simple in implementation and less dependent of the CFR correlation. However, the proposed model-based methods, applicable to OFDM systems with periodic training blocks, are less spectrally efficient comparing to those with scattered pilots. In this work, we consider the scenario of the OFDM systems with scattered pilots, the model-based method is modified and incorporated with a decision-directed feedback procedure. The proposed scheme achieves improved performance comparing to the traditional model-based methods using scattered pilots. A uncoded BER performance less 0.5 dB away from the ideal CFR performance is demonstrated when DVB-T is considered as the example OFDM system.
正交频分复用(OFDM)技术是宽带无线通信中应对频率选择性衰落信道的有效技术。该技术的性能主要取决于信道频响估计的精度。大多数高性能信道估计方案利用子信道CFRs的相关性,这依赖于信道统计知识。还有一些基于模型的方法,其实现相对简单,对CFR相关性的依赖性较小。然而,所提出的基于模型的方法适用于具有周期性训练块的OFDM系统,与具有分散导频的OFDM系统相比,频谱效率较低。在本工作中,我们考虑了具有分散导频的OFDM系统的场景,将基于模型的方法进行了改进,并将其与决策导向的反馈过程相结合。与传统的基于模型的分散导频方法相比,该方法具有更好的性能。以DVB-T作为OFDM系统为例,证明了其无编码误码率性能与理想CFR性能相差小于0.5 dB。
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引用次数: 0
A registration system for aiding in localization and routing in hybrid VANETs 混合 VANET 中辅助定位和路由选择的注册系统
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425271
J. Sheu, Wei-Kai Hu, Rodolfo Eduardo Bol
Hybrid vehicular ad hoc networks (VANETs) allow Inter-Vehicle Communications and Roadside-to-Vehicle Communications. The proposed protocol utilizes the Roadside Units (RSUs) for the implementation of a registration process which allows for the provision of a localization service. The presented RSUs architecture breaks the VANETs into smaller regions managed by a RSU in which individual On Board Units (OBUs) register providing its current position and velocity vectors. Using the data provided by the OBUs, a localization service can be implemented. When the source need to send data, the location of the destination is calculated at the source RSU and the destination RSU using controlled flooding locates the destination vehicle and establishes a route path between source and destination. Simulation results show that it performs well providing good throughput, high packet delivery ration, low delivery delays with very low overhead.
混合车辆特设网络(VANET)允许车辆间通信和路边到车辆通信。建议的协议利用路边装置(RSU)实施注册过程,从而提供定位服务。所提出的 RSU 架构将 VANET 分成由 RSU 管理的较小区域,在这些区域中,各个车载单元(OBU)注册并提供其当前位置和速度矢量。利用 OBU 提供的数据,可以实现定位服务。当信号源需要发送数据时,信号源 RSU 会计算出目的地的位置,而目的地 RSU 会使用受控泛洪定位目的地车辆,并在信号源和目的地之间建立一条路径。仿真结果表明,该系统性能良好,具有吞吐量大、数据包传送率高、传送延迟低、开销极小等特点。
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引用次数: 7
The identification of traffic flow based on edge symmetry 基于边缘对称的交通流识别
Pub Date : 2012-11-01 DOI: 10.1109/ITST.2012.6425225
Jingjing Chi, Jian Huang, Bowen Du
Traffic in the megacity has characteristics of high vehicle density, small space between vehicles, which results in a greater distress to the vehicle identification and statistics. This paper designs and implements a vehicle identification algorithm based on edge detection and symmetry. The algorithm can meet the basic needs of urban traffic statistics, and overcome the influence of external factors such as inclement weather. At the end of the paper, some experiments are taken to verify that this method made a great classification accuracy of 94% under good weather and 86% at rainy day.
特大城市交通具有车辆密度大、车距小的特点,这给车辆识别和统计带来了较大的困难。本文设计并实现了一种基于边缘检测和对称性的车辆识别算法。该算法既能满足城市交通统计的基本需求,又能克服恶劣天气等外部因素的影响。最后通过实验验证了该方法在良好天气下的分类准确率为94%,在雨天的分类准确率为86%。
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引用次数: 1
期刊
2012 12th International Conference on ITS Telecommunications
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