2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES)最新文献_第5页

A markov chain based traffic flow control model for reducing vehicles' CO2 emissions 基于马尔可夫链的交通流控制模型

2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2015-11-01 DOI: 10.1109/ICVES.2015.7396926

Jun Sun, Chunxiao Li, Jie Ding, Jing Yang, Zhi Liu

引用次数: 1

Driver behavior assessment based on the belief theory in the driver-vehicle-environment system 基于信念理论的人-车-环境系统驾驶员行为评价

2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2015-11-01 DOI: 10.1109/ICVES.2015.7396885

Oussama Derbel, R. Landry

{"title":"Driver behavior assessment based on the belief theory in the driver-vehicle-environment system","authors":"Oussama Derbel, R. Landry","doi":"10.1109/ICVES.2015.7396885","DOIUrl":"https://doi.org/10.1109/ICVES.2015.7396885","url":null,"abstract":"This paper proposes to evaluate the driver safety by integrating the information of the Driver, the Vehicle and the Environment (DVE). The adopted strategy is composed of two fusion levels (local and global fusion levels) and use the Demptster-Shafer Theory (DST). The development of the Basic Probability Assignment (BPA) is based on the developed Fuzzy Inference System (FIS) (in the vehicle entity) and models. To reduce the complexity of the fusion problem in the Vehicle entity, the output membership function is fixed to the two developed FISs and the rule table is tuned relatively to this assumption. Application to the Canadian drivers in the city of Montreal shows the validity of the developed risk modes in case of one sample data and a driving mission. Comparison results between the Dempster-Shafer (DS) and the sixth version of the Proportional Conflict Redistribution (PCR6) combination rules show that the relevance of the PCR6 in case of high conflict between sources. Data related to the experimental test is recorded using the developed on-board data collector device that integrates an Inertial Navigation System (INS) and a Global Positioning System (GPS). Our approach assumes that the driving behavior is evaluated over the defined referential subsets which are the Low Risk (LR), Medium Risk (MR) and High Risk (HR), LE u MR and HR and the driving scores are the masses over these subsets.","PeriodicalId":325462,"journal":{"name":"2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130187876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Predicting driver lane change intent using HCRF 基于HCRF的驾驶员变道意图预测

2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2015-11-01 DOI: 10.1109/ICVES.2015.7396895

Yu Wen, Xuetao Zhang, Fei Wang, Jinsong Han

引用次数: 5

Haptic interface of driver-assistance system based on safe driving evaluation 基于安全驾驶评价的驾驶员辅助系统触觉界面

2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2015-11-01 DOI: 10.1109/ICVES.2015.7396910

T. Hiraoka, Masafumi Hayakawa

引用次数: 1