{"title":"Transmission control for reliable pedestrian-to-vehicle communication by using context of pedestrians","authors":"Suhua Tang, Kiyoshi Saito, S. Obana","doi":"10.1109/ICVES.2015.7396891","DOIUrl":null,"url":null,"abstract":"Pedestrian-to-vehicle communication is an effective method to reducing pedestrian accidents, but its performance is greatly degraded when many pedestrians contend to transmit frequently on the same channel. In this paper, we propose to solve this problem from three aspects, (i) defining accident models for intersections and straight roads where pedestrian accidents frequently occur, (ii) estimating the degree of risk by exploiting pedestrian context information, and (iii) differentiating pedestrian transmissions with different transmission intervals and channel access priorities so that messages from pedestrians in high risk can be quickly and reliably sent to potentially colliding vehicles. The proposed scheme is implemented via network simulator and extensively evaluated. Experimental results confirm that in dense scenarios with a large number of pedestrians, the proposed scheme can greatly improve packet delivery rate of pedestrians in high risk compared with the conventional schemes.","PeriodicalId":325462,"journal":{"name":"2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVES.2015.7396891","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
Pedestrian-to-vehicle communication is an effective method to reducing pedestrian accidents, but its performance is greatly degraded when many pedestrians contend to transmit frequently on the same channel. In this paper, we propose to solve this problem from three aspects, (i) defining accident models for intersections and straight roads where pedestrian accidents frequently occur, (ii) estimating the degree of risk by exploiting pedestrian context information, and (iii) differentiating pedestrian transmissions with different transmission intervals and channel access priorities so that messages from pedestrians in high risk can be quickly and reliably sent to potentially colliding vehicles. The proposed scheme is implemented via network simulator and extensively evaluated. Experimental results confirm that in dense scenarios with a large number of pedestrians, the proposed scheme can greatly improve packet delivery rate of pedestrians in high risk compared with the conventional schemes.