A Multi-Mode Public Transportation System Using Vehicular to Network Architecture  

作　　者：Settawit Poochaya Peerapong Uthansakul Monthippa Uthansakul Patikorn Anchuen Kontorn Thammakul Arfat Ahmad Khan Niwat Punanwarakorn Pech Sirivoratum Aranya Kaewkrad Panrawee Kanpan Apichart Wantamee 

机构地区：[1]School of Telecommunication Engineering,Suranaree University of Technology,Nakhon Ratchasima,30000,Thailand [2]Office of Graduate Studies,Navaminda Kasatriyadhiraj Royal Air Force Academy,Bangkok,10220,Thailand [3]School of Mechanical Engineering,Suranaree University of Technology,Nakhon Ratchasima,30000,Thailand [4]School of Manufacturing Engineering,Suranaree University of Technology,Nakhon Ratchasima,30000,Thailand [5]Thaicom Public Company Limited,Patumthani,12140,Thailand

出　　处：《Computers, Materials & Continua》2022年第12期5845-5862,共18页计算机、材料和连续体（英文）

基　　金：This work was supported by Suranaree University of Technology(SUT).The authors would also like to thank SUT Smart Transit and Thai AI for supporting the experimental and datasets.

摘　　要：The number of accidents in the campus of Suranaree University of Technology(SUT)has increased due to increasing number of personal vehicles.In this paper,we focus on the development of public transportation system using Intelligent Transportation System(ITS)along with the limitation of personal vehicles using sharing economy model.The SUT Smart Transit is utilized as a major public transportation system,while MoreSai@SUT(electric motorcycle services)is a minor public transportation system in this work.They are called Multi-Mode Transportation system as a combination.Moreover,a Vehicle toNetwork(V2N)is used for developing theMulti-Mode Transportation system in the campus.Due to equipping vehicles with On Board Unit(OBU)and 4G LTE modules,the real time speed and locations are transmitted to the cloud.The data is then applied in the proposed mathematical model for the estimation of Estimated Time of Arrival(ETA).In terms of vehicle classifications and counts,we deployed CCTV cameras,and the recorded videos are analyzed by using You Only Look Once(YOLO)algorithm.The simulation and measurement results of SUT Smart Transit and MoreSai@SUT before the covid-19 pandemic are discussed.Contrary to the existing researches,the proposed system is implemented in the real environment.The final results unveil the attractiveness and satisfaction of users.Also,due to the proposed system,the CO_(2) gas gets reduced when Multi-Mode Transportation is implemented practically in the campus.

关 键 词：Smart transit intelligent transportation system(ITS) dedicated short range communication(DSRC) vehicle to network(V2N) vehicle to everything(V2X) electric vehicle(EV) you only look once(YOLO) 

分 类 号：TN91[电子电信—通信与信息系统]