Simulation Environment for Visualizing Connected Ground and Air Traffic

被引:1
作者
Dowd, Garrett [1 ]
Kavas-Torris, Ozgenur [1 ]
Guvenc, Levent [1 ]
Aksun-Guvenc, Bilin [1 ]
机构
[1] Ohio State Univ, Automated Driving Lab, Dept Mech & Aerosp Engn, Columbus, OH 43210 USA
关键词
ASSISTED VEHICULAR NETWORKS; SYSTEMS;
D O I
10.1177/0361198120962485
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Cameras are the most popular sensors deployed on unmanned aerial vehicles (UAV) and many studies since 2000 have shown their ability to track vehicles and monitor traffic. At the same time, dedicated short-range communication (DSRC) and cellular vehicle to everything (C-V2X) communication technologies are gaining momentum in both standardization and implementation. In this work, we create a simulation environment that provides capabilities to simulate connected ground and air traffic in a single application. This environment is built alongside PTV Vissim and has the goal of being one of the default tools used by transportation professionals to simulate air vehicles and communication for ground traffic use cases. Vissim event-based scripts and a custom Python package called PyPTV form the foundation of this simulation environment. This work first discusses the simulation capabilities, software architecture, and techniques used to improve simulation speed. The results then show that this simulation environment can be used in many different cases. Videos are given to show example simulations.
引用
收藏
页码:15 / 22
页数:8
相关论文
共 24 条
[1]   Efficient Data Processing in Software-Defined UAV-Assisted Vehicular Networks: A Sequential Game Approach [J].
Alioua, Ahmed ;
Senouci, Sidi-Mohammed ;
Moussaoui, Samira ;
Sedjelmaci, Hichem ;
Messous, Mohamed-Ayoub .
WIRELESS PERSONAL COMMUNICATIONS, 2018, 101 (04) :2255-2286
[2]   Automatic vehicle trajectory extraction by aerial remote sensing [J].
Azevcdo, Carlos Lima ;
Cardoso, Joao L. ;
Ben-Akiva, Moshe ;
Costeira, Joao P. ;
Marques, Manuel .
TRANSPORTATION: CAN WE DO MORE WITH LESS RESOURCES? - 16TH MEETING OF THE EURO WORKING GROUP ON TRANSPORTATION - PORTO 2013, 2014, 111 :849-858
[3]  
Balke K., 2014, FHWAJPO14168 IS DEP FHWAJPO14168 IS DEP
[4]   How accurate are small drones for measuring microscopic traffic parameters? [J].
Barmpounakis, Emmanouil N. ;
Vlahogianni, Eleni, I ;
Golias, John C. ;
Babinec, Adam .
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2019, 11 (06) :332-340
[5]  
Cecil J, 2018, ANN IEEE SYST CONF, P441
[6]  
Chakrabarty A., 2019, AIAA SCI 2019 FOR SA AIAA SCI 2019 FOR SA
[7]  
Coifman B., 2004, P 83 ANN M TRANSP RE, P28
[8]   Unmanned aerial systems for photogrammetry and remote sensing: A review [J].
Colomina, I. ;
Molina, P. .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2014, 92 :79-97
[9]   Effect of non-cooperative vehicles on path connectivity in vehicular networks: A theoretical analysis and UAV-based remedy [J].
Fawaz, Wissam .
VEHICULAR COMMUNICATIONS, 2018, 11 :12-19
[10]  
Kanistras K, 2013, INT CONF UNMAN AIRCR, P221