[1]马千惠,徐 扬,丁维龙,等.面向高速公路逃费车辆甄别的实时检测方法[J].计算机技术与发展,2019,29(07):184-189.[doi:10. 3969 / j. issn. 1673-629X. 2019. 07. 037]
 MA Qian-hui,XU Yang,DING Wei-long,et al.Real-time Inspection Method for Monitoring Highway Fee Evasion Vehicles[J].,2019,29(07):184-189.[doi:10. 3969 / j. issn. 1673-629X. 2019. 07. 037]
点击复制

面向高速公路逃费车辆甄别的实时检测方法()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年07期
页码:
184-189
栏目:
应用开发研究
出版日期:
2019-07-10

文章信息/Info

Title:
Real-time Inspection Method for Monitoring Highway Fee Evasion Vehicles
文章编号:
1673-629X(2019)07-0184-06
作者:
马千惠12 徐 扬3 丁维龙12 邹 杰4
1. 北方工业大学 数据工程研究院,北京 100043; 2. 大规模流数据集成与分析技术北京市重点实验室,北京 100043; 3. 北京易华录信息技术股份有限公司,北京 100043; 4. 交通运输部公路科学研究院,北京 100088
Author(s):
MA Qian-hui 12 XU Yang 3 DING Wei-long 12 ZOU Jie 4
1. Institute of Data Engineering,North China University of Technology,Beijing 100043,China; 2. Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data,Beijing 100043,China; 3. E·Hualu Information Technology Co. ,Ltd. ,Beijing 100043,
关键词:
高速公路防逃费实时计算阈值表Storm
Keywords:
highwayanti escapereal-time computingthreshold tableStorm
分类号:
TP391
DOI:
10. 3969 / j. issn. 1673-629X. 2019. 07. 037
摘要:
高速公路逃费车辆的在线甄别对高速公路运行管理和运行效率的提升具有重要意义。 高速公路逃费车辆甄别具有时效性约束。 针对现有高速公路收费数据稽查低效率、高延迟以及精度低等问题,提出了 Storm 环境下在线逃费车辆实时检测甄别技术。 针对假冒军警牌车辆、倒卡逃费、套牌车逃费三种逃费方式,利用某省高速公路真实收费数据模拟实时收费收据流,设计了基于真实军警牌数据、站点阈值表和滑动时间窗口的三种在线计算模型。 实验结果表明,三种逃费方式计算的准确率分别达到 99%、98%、98.5%,单条收费数据的处理时间达到毫秒级,实现了在线检测可疑逃费车辆。 最后,在三种计算模型的基础上,完成了偷逃费车辆稽查系统,能实时甄别并显示高速公路路网出现的所有可疑逃费车辆收费信息。
Abstract:
The screening of highway escaping vehicles online with timeliness is of great significance to the operation and management of highway and the improvement of highway operation efficiency. Aiming at the existing problems of low efficiency,high delay and low accuracy of fee evasion,we propose a real-time approach to find suspected vehicles online based on Apache Storm. According to different behavior modes of fee evasion,three online calculation models based on real military police card data,the threshold table of station and the sliding time window are designed by simulating the real-time charging receipt flow by using the real highway toll data of a province. The experiment shows that the calculation accuracy of the three types of evasion methods is 99%,98%,98.5%. Also,a piece of toll data can be dealt with in milliseconds,realization of the online detection of suspicious fee evasion vehicles. Finally,on the basis of three kinds ofcalculation models,the vehicle inspection system for fee evasion is completed. The system can identify and display the toll information of all suspected fee evasion vehicles in the highway network in real time.

相似文献/References:

[1]高俊 李长云 万灿军 文志华.高速公路联网拆账系统的设计与实现[J].计算机技术与发展,2009,(02):247.
 GAO Jun,LI Chang-yun,WAN Can-jun,et al.Design and Implementation of Toll Allocation for Expressway Network System[J].,2009,(07):247.
[2]黄春平 蒋珉 柴干.高速公路的匝道与可变限速联合模糊控制[J].计算机技术与发展,2010,(12):38.
 HUANG Chun-ping,JIANG Min,CHAI Gan.Fuzzy Control for Ramp Metering and Variable Speed Limitation of Freeway[J].,2010,(07):38.
[3]张春玲 蒋珉 柴干.基于MapX的高速公路动态拓扑结构的构建[J].计算机技术与发展,2010,(12):205.
 ZHANG Chun-ling,JIANG Min,CHAI Gan.Building of Dynamic Topological Construction on Expressway Based on MapX[J].,2010,(07):205.
[4]钱刚,蒋珉,柴干.高速公路事故影响范围的研究[J].计算机技术与发展,2014,24(06):83.
 QIAN Gang[],JIANG Min[],CHAI Gan[].Study on Expressway Traffic Accident Influence Scope[J].,2014,24(07):83.
[5]时恒心,孟 强,刘梦依,等.基于物联网的高速公路主动发光诱导系统设计[J].计算机技术与发展,2020,30(04):115.[doi:10. 3969 / j. issn. 1673-629X. 2020. 04. 022]
 SHI Heng-xin,MENG Qiang,LIU Meng-yi,et al.Design of Active Luminescence Induction System for Expressway Based on Internet of Things[J].,2020,30(07):115.[doi:10. 3969 / j. issn. 1673-629X. 2020. 04. 022]
[6]陈 刚.基于改进 GRU 的高速公路交通流量预测模型[J].计算机技术与发展,2023,33(07):208.[doi:10. 3969 / j. issn. 1673-629X. 2023. 07. 031]
 CHEN Gang.Highway Traffic Flow Prediction Model Based on Improved GRU[J].,2023,33(07):208.[doi:10. 3969 / j. issn. 1673-629X. 2023. 07. 031]

更新日期/Last Update: 2019-07-10