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1. WO2018122805 - TRAFFIC ANOMALY DETECTION METHOD BASED ON TIME DISTRIBUTION OF TRAVELS

Publication Number WO/2018/122805
Publication Date 05.07.2018
International Application No. PCT/IB2017/058535
International Filing Date 30.12.2017
IPC
G08G 1/01 2006.01
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
01Detecting movement of traffic to be counted or controlled
CPC
G06F 16/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
G08G 1/00
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
G08G 1/01
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
01Detecting movement of traffic to be counted or controlled
G08G 1/0112
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
01Detecting movement of traffic to be counted or controlled
0104Measuring and analyzing of parameters relative to traffic conditions
0108based on the source of data
0112from the vehicle, e.g. floating car data [FCD]
G08G 1/0129
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
01Detecting movement of traffic to be counted or controlled
0104Measuring and analyzing of parameters relative to traffic conditions
0125Traffic data processing
0129for creating historical data or processing based on historical data
G08G 1/0133
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
01Detecting movement of traffic to be counted or controlled
0104Measuring and analyzing of parameters relative to traffic conditions
0125Traffic data processing
0133for classifying traffic situation
Applicants
  • 同济大学 TONGJI UNIVERSITY [CN]/[CN] (CN)
  • 欧冠创新科技(广州)有限公司 O'GRANDS INNOVATION INC. [CN]/[CN] (AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BE, BF, BG, BH, BJ, BN, BR, BW, BY, BZ, CA, CF, CG, CH, CI, CL, CM, CO, CR, CU, CY, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, FR, GA, GB, GD, GE, GH, GM, GN, GQ, GR, GT, GW, HN, HR, HU, ID, IE, IL, IN, IR, IS, IT, JO, JP, KE, KG, KH, KM, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LT, LU, LV, LY, MA, MC, MD, ME, MG, MK, ML, MN, MR, MT, MW, MX, MY, MZ, NA, NE, NG, NI, NL, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SI, SK, SL, SM, SN, ST, SV, SY, SZ, TD, TG, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW)
Inventors
  • 杜豫川 DU, Yuchuan
  • 邓富文 DENG, Fuwen
Agents
  • 许 军 XU, Michael Jun
Priority Data
PCT/IB2016/05810530.12.2016IB
Publication Language Chinese (ZH)
Filing Language Chinese (ZH)
Designated States
Title
(EN) TRAFFIC ANOMALY DETECTION METHOD BASED ON TIME DISTRIBUTION OF TRAVELS
(FR) PROCÉDÉ DE DÉTECTION D'ANOMALIES DE TRAFIC SUR LA BASE DE LA RÉPARTITION DANS LE TEMPS DES TRAJETS
(ZH) 一种基于行程时间分布的交通异常检测方法
Abstract
(EN)
A traffic anomaly detection method. By using a vehicle-mounted GNSS positioning device of a floating vehicle, spatial position information on different time points can be obtained; and by means of the analysis and excavation of a great quantity of track information of the floating vehicle, a traffic anomaly event of an urban road can be smartly detected. In the method for detecting a traffic anomaly, a traffic state is indicated by using the probability distribution of travel time, a traffic state difference is reflected by using probability distribution difference measurement indictors; compared with the prior art, the present invention has the characteristics: the principle is clear, the implementation is simple and convenient, and the detection rate is high.
(FR)
L'invention concerne un procédé de détection d'anomalies de trafic. Au moyen d'un dispositif de positionnement GNSS embarqué d'un véhicule flottant, des informations de position spatiale à différents instants peuvent être obtenues; et au moyen de l'analyse et de l'excavation d'une grande quantité d'informations de suivi du véhicule flottant, un événement d'anomalie de trafic d'une route urbaine peut être détecté intelligemment. Selon le procédé de détection d'une anomalie de trafic, un état de trafic est indiqué en utilisant la répartition de probabilité du temps de trajet, une différence d'état de trafic est reflétée en utilisant des indicateurs de mesure de différence de répartition de probabilité; par rapport à l'état de la technique, les caractéristiques de la présente invention sont que : le principe est clair, la mise en œuvre est simple et pratique, et le taux de détection est élevé.
(ZH)
一种交通异常检测方法。利用浮动车的车载GNSS定位装置,可获取其不同时刻的空间位置信息,通过对海量浮动车轨迹信息的分析挖掘,可实现城市道路交通异常事件的智能化检测。该交通异常检测方法,采用行程时间的概率分布表征交通状态,采用概率分布差异衡量指标反映交通状态差异,与现有技术相比,具有原理明晰、实施简便、检测率高的特点。
Also published as
GB1909409.3
Latest bibliographic data on file with the International Bureau