Traffic Monitoring on City Roads Using UAVs

被引:4
|
作者
Elloumi, Mouna [1 ,2 ]
Dhaou, Riadh [1 ]
Escrig, Benoit [1 ]
Idoudi, Hanen [2 ]
Saidane, Leila Azouz [2 ]
Fer, Andrei [1 ,3 ]
机构
[1] Univ Toulouse, IRIT ENSEEIHT, Toulouse, France
[2] Univ Manouba, Natl Sch Comp Sci, Manouba, Tunisia
[3] Mil Tech Acad, Bucharest, Romania
关键词
Unmanned Aerial Vehicles (UAVs); Traffic monitoring; UAVs trajectories; Events detection process; Learning strategy;
D O I
10.1007/978-3-030-31831-4_42
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Unmanned Aerial Vehicles (UAVs) based systems are a suitable solution for monitoring, more particularly for traffic monitoring. The mobility, the low cost, and the broad view range of UAVs make them an attractive solution for traffic monitoring of city roads. UAVs are used to collect and send information about vehicles and unusual events to a traffic processing center, for traffic regulation. Existing UAVs based systems use only one UAV with a fixed trajectory. In this paper, we are using multiple cooperative UAVs to monitor the road traffic. This approach is based on adaptive UAVs trajectories, adjusted by moving points in UAVs fields of view. We introduced a learning phase to search for events locations with a frequent occurrence and to place UAVs above those locations. Our approach allows the detection of a lot of events and permits the reduction of UAVs energy consumption.
引用
收藏
页码:588 / 600
页数:13
相关论文
共 50 条
  • [41] CITY ROADS AND ENVIRONMENT
    FLOWERDEW, AD
    HAMMOND, A
    REGIONAL STUDIES, 1973, 7 (02) : 123 - 136
  • [42] Intelligent Traffic Monitoring System (ITMS) for Smart City Based on IoT Monitoring
    Putra, Arman Syah
    Warnars, Harco Leslie Hendric Spits
    2018 INDONESIAN ASSOCIATION FOR PATTERN RECOGNITION INTERNATIONAL CONFERENCE (INAPR), 2018, : 161 - 165
  • [43] Studying real traffic and mobility scenarios for a Smart City using a new monitoring and tracking system
    Fernandez-Ares, A.
    Mora, A. M.
    Arenas, M. G.
    Garcia-Sanchez, P.
    Romero, G.
    Rivas, V.
    Castillo, P. A.
    Merelo, J. J.
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2017, 76 : 163 - 179
  • [44] Driver's Behaviour Monitoring on Urban Roads of a Tier 2 City in India
    Mishra, Apoorva
    Bajaj, Preeti
    2015 7TH INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING & TECHNOLOGY (ICETET), 2015, : 134 - 140
  • [45] AVARS - Alleviating Unexpected Urban Road Traffic Congestion using UAVs
    Guo, Jiaying
    Jones, Michael R.
    Djahel, Soufiene
    Wang, Shen
    2023 IEEE 98TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-FALL, 2023,
  • [46] Traffic Density Classification Using Sound Datasets: An Empirical Study on Traffic Flow at Asymmetric Roads
    Bui, Khac-Hoai Nam
    Oh, Hyeonjeong
    Yi, Hongsuk
    IEEE ACCESS, 2020, 8 : 125671 - 125679
  • [47] Association between ambient levels of EC and distance from high traffic roads in Mexico City
    Cortez, Lugo M.
    Barraza, Villareal A.
    Romieu, I
    EPIDEMIOLOGY, 2008, 19 (01) : S225 - S226
  • [48] IMAGE TRACKING OF MOTORCYCLES AND VEHICLES ON URBAN ROADS AND ITS APPLICATION TO TRAFFIC MONITORING AND ENFORCEMENT
    Tai, Jen-Chao
    Song, Kai-Tai
    JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2010, 33 (06) : 923 - 933
  • [49] Levels of pollutants in runoff water from roads with high traffic intensity in the city of Gdansk, Poland
    Polkowska, Z
    Grynkiewicz, M
    Zabiegala, B
    Namiesnik, J
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2001, 10 (05): : 351 - 363
  • [50] Machine Learning Models for Traffic Prediction on Arterial Roads Using Traffic Features and Weather Information
    Abduljabbar, Rusul
    Dia, Hussein
    Liyanage, Sohani
    APPLIED SCIENCES-BASEL, 2024, 14 (23):