共查询到20条相似文献，搜索用时 0 毫秒
1.
2.
In this paper, we evaluate how to provide or control traffic information based on anticipatory stigmergy. Managing traffic congestion is one of the main issues for smart cities, and many efforts have been made to address it from the perspective of IT and transportation research. Recently, dynamic coordination methods have been made possible by using shorter term traffic information that can be gathered by probe vehicles or smartphones. Some attempts have been made to handle short‐term traffic information in which a stigmergy‐based approach is employed as an indirect communication method for cooperation among distributed agents and for managing traffic congestion. One drawback of these approaches is that handling near‐future congestion remains difficult because stigmergies basically represent past information. Therefore, we propose anticipatory stigmergy for sharing information about the near future and adequate driver allocation. All vehicles submit their near‐future intentions as anticipatory stigmergy in order to search for routes. Preliminary results demonstrate that anticipatory stigmergy with an assignment strategy functions well. 相似文献
3.
AbstractThis work reports on results from a field trial regarding the collection of floating car data with smartphones in Austria. The field trial has been conducted within Austria’s National Floating Car Data Testbed pursuing the goal to test different aspects of floating car data technology for traffic data collection, traffic state estimation and traffic prediction. The test bed collects, processes and analyses FCD from several thousand vehicles. The field trial for smartphone-based data collection has been conducted within the Federal State of Salzburg covering 1500 kilometres of major road network. Between the launch of the Android-based smartphone application in March 2014 and the end of the field trial in February 2015, the application has been downloaded by more than 2100 users. One year after launch the app is still installed on 650 devices and attracts around 15 users daily. The work gives insights into the application’s concepts and discusses app usage statistics, usage patterns and user feedback in the context of community-driven traffic data collection. On the one hand, results from the field trial confirm that community-driven traffic data collection is still not a phenomenon of the masses due to various challenges discussed throughout the work. On the other hand, results contribute to a deeper understanding of community-driven data collection in the traffic domain and help to learn for future trials. 相似文献
4.
基于视频的车辆检测中阈值分割算法的改进 总被引：4，自引：0，他引：4
在基于视频的交通监控系统中，场景图像的分割在车辆检测中是一个重要环节，本文比较了传统的闽值分割方法，对一般迭代法提出改进，并引入一个平滑系数，使分割阈值在原来的水平上得到提高，并有效地避免当前帧分割闽值的突变。实践证明该算法能简单、鲁棒地实现分割，效果明显。 相似文献
5.
恶劣气象对道路交通系统有相当大的影响。在分析我国气候特点的基础上,对恶劣气象信息的采集、传输、发布、判断、处理做了必要的研究,并在现有的高速公路信息管理系统框架内设计出气象信息服务子系统。 相似文献
6.
高速公路宏观动态模型研究对高速公路交通流的控制具有重要意义。以工控机为处理核心的系统存在的体积大、功耗大,不适宜长期在实际路口工作的缺陷,本文旨在研究一种基于FPGA的仿真实现高速公路宏观动态模型,以克服工控机的不足之处。设计了16位自定义浮点数,与Quartus II软件中公开浮点数运算IP核相比,能够在保证计算精度的前提下节省FPGA的逻辑资源。基于上述浮点数运算模块,本文对高速公路宏观动态交通流模型进行了FPGA的仿真实现,并将其结果与MATLAB运算结果进行对比。结果表明基于FPGA的仿真不仅能够满足仿真精度的指标,还可以获得更快的运算速度。 相似文献
7.
智能交通系统中的视频监控技术 总被引：1，自引：0，他引：1
介绍了在智能交通系统(ITS)中基于视频图像的车流量和车速检测、车辆类型检测和识别,以及车牌号码的定位和识别技术,并给出了应用实例.最后,结合目前的研究成果对视频图像在ITS中存在的问题和对未来的发展进行了展望. 相似文献
8.
为准确计算交通事故中道路通行能力,在深入分析发生事故时道路状况的基础上,通过对道路通行能力的机理分析,提出了一种计算方法。针对事故发生位置对车道路宽进行变换处理,根据驾驶员反应时间等因素算出最小车头间距,推导出车速与车流密度关系、车道路宽与车速关系以及通行能力与车流量、车道数的关系。最后,使用Matlab数值模拟得到道路通行能力与车流密度的相图。结果表明,该相图能准确反映出交通事故对道路通行能力所造成的削弱影响。 相似文献
9.
In the world, the vehicular traffic is endlessly expanding all over the place and at the point of intersection can cause terrible traffic congestion. Today, the vast majority of the traffic lights is fixed green light system; therefore, it is resolved without considering the incidence of vehicles emergency. The vehicles of emergency like fire trucks and ambulances are need to reach their destinations at the time. Many people face danger situation when they spent lot of time in traffic. To resolve the above mentioned problem, this paper proposed an optimization technique (Emperor Penguin Optimizer) for urban traffic organisation while limiting the pollution using wireless sensor network. At first, the basic parameters are explained like headway, throughput, density, flow, volume, and waiting time. After that, find the traffic pollutions and calculate the emergency vehicle based on the priority. Lastly, based on the above conditions, the traffic light will be displayed. The proposed work will be evaluated by using MATLAB in terms of latency (32 s), buffer (30 KB/s/vehicle), packet delivery ratio (99%), delay (0.7 s), overhead (20%), packet loss ratio (1%), throughput (99%), and time. Proposed work can also be compared with other recent techniques for the research evaluation. 相似文献
10.
ABSTRACT Arterial roads have operational significance and play a substantial role in the mobility of modern society. They make up the majority of road network in urban and rural areas and allow high-speed movement despite traffic-controlling elements. In densely populated areas where the presence of Vulnerable Road Users (VRUs) is high, high-speed movement is problematic, and speed calming measures are needed to improve traffic safety, since many VRUs do crossroads, regardless of the road network regulations. These aspects have been researched in the traffic domain in a small scale, and not much has been investigated from a visualisation perspective. To provide comprehensive insights on the movement characteristics of arterial roads, we propose a GeoVisual Analytics (GVA) approach. GVA techniques are suitable solutions to display and extract knowledge from large amounts of Floating Car Data (FCD) collected through on-board devices of vehicles. By cross-sector collaboration between cartographic and traffic experts, five arterial road segments in Aalborg City were selected to answer where and when in particular VRUs do cross streets by ignoring traffic rules. Based on clusters of large unexplainable deviations from driving speed in FCD, the results uncovered meaningful patterns from complex traffic movements. They also allowed for the provision of some recommendations that are critical for traffic safety in urban areas. 相似文献
11.
交通灯作为一种交通管制手段,如果能实现不同路段的差异化控制,对于城市交通拥堵问题将起到缓解作用.本设计运用红外车流量检测装置对十字路口车流量进行量化处理,采取自适应算法,实现交通灯根据车流量大小的自适应控制;同时,本设计还增加了模拟的交通控制中心,实现了对十字路口的远程监视和超限自动报警功能、人为干预和紧急处置功能,从而实现更符合实际情况、解决实际交通问题. 相似文献
12.
13.
视频检测作为智能交通中一种主要的检测手段在交通流检测、车辆违章跟踪等领域得到了广泛的研究和发展。文中提出了一种城市道路交通灯智能控制模型,该模型利用视频图像处理技术,获取十字路口各方向的车流量参数、违章车辆信息等,在此基础上实现了交通灯的智能控制以及对违章车辆的视频跟踪,最后给出了实际交通视频图像处理的实验结果。 相似文献
14.
S. Sasikala R. Neelaveni P. Sweety Jose 《International Journal of Communication Systems》2023,36(16):e5593
Several autonomous traffic monitoring systems have been created as a result of the growing number of vehicles in urban areas. Traffic surveillance systems that use roadside cameras, in particular, are becoming widely used for traffic management. For an efficient traffic control and vehicle navigation system, accurate traffic flow information must be obtained based on the vehicles detected in surveillance videos. However, vehicles of various scales are difficult to spot in traffic surveillance videos due to the presence of barricades, other vehicles, and the impact of poor lighting. Also, adverse weather conditions like snow, fog, and heavy rain diminish the visual quality of the surveillance footage. This paper proposes multi-scale dense nested deep CNN (MSDN-DCNN) and regional search grasshopper optimization algorithm (RS-GOA) framework to accurately detect the vehicles, estimate the traffic flow, and find the optimal path with less travel time. First, the surveillance videos are pre-processed, which includes frame conversion, redundancy removal, and image enhancement. The pre-processed frames are given as input to the MSDN-DCNN for multi-scale vehicle detection. The detected results are used for vehicle counting and estimating the traffic flow. Finally, the optimal path is chosen based on the traffic flow information by using the RS-GOA algorithm. The performance of the proposed method is compared with the existing vehicle detection and path selection techniques. The results illustrate that the proposed Deep CNN-RS-GOA framework has improved performance with high detection accuracy (91.03%), high speed (53.9 fps), less running time (1,000 ms), less travel time, and faster convergence. 相似文献
15.
16.
17.
18.
针对机动车信息识别和监控课题,提出在机动车上安装远距离射频信息卡,在道口安装机动车信息固定采集器,为执法人员配置移动或手持采集器,采集器将机动车信息汇集到监控中心,从而构建低成本的机动车物联网和智能交通系统,有效地解决了机动车流量监控、可疑车辆追踪、套牌假牌识别等问题。 相似文献
19.
20.
介绍了一种交通噪声预测的新方法.该方法将车、受声点看成一线性系统,先求得单位声功率车辆在受声点处随时间变化的声压级平方,将其作为该系统的脉冲响应,然后将一定车流量的交通道路车流作为输入信号,卷积输入信号与脉冲响应,得到交通道路车流在受声点处一定时间段的声压级平方,从而得到该点的等效声压级等各个噪声参数.考虑了车辆类型和车道的影响,利用一交通道路的实测结果,与使用MATLAB软件得到的模拟结果比较表明:该方法预测的等效声级与实际测量结果相差在1 dB以内,且能预测累计分布声级等噪声评价参数. 相似文献