2014 International Conference on Connected Vehicles and Expo (ICCVE)最新文献_第2页

Towards a 3-tier architecture for connected vehicles 面向联网汽车的三层架构

2014 International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2014-11-01 DOI: 10.1109/ICCVE.2014.7297634

C. Prehofer, K. Schorp, Stefan Kugele, Daniel Clarke, Markus Duchon

引用次数: 1

Understanding traffic: Towards a smart traffic control architecture 了解交通:走向智能交通控制架构

2014 International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2014-11-01 DOI: 10.1109/ICCVE.2014.7297677

A. Gawanmeh, M. Alwadi, A. Ghawanmeh

引用次数: 1

Making inter-flow network coding possible for unicast routing in VANETs 使VANETs中单播路由的流间网络编码成为可能

2014 International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2014-11-01 DOI: 10.1109/ICCVE.2014.7297668

Celimuge Wu, S. Ohzahata, Yusheng Ji, Toshihiko Kato

引用次数: 3

A smart trip advice model by inter-car voting data over Internet towards pleasant driving 一种基于网际投票数据的智能出行建议模型

2014 International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2014-11-01 DOI: 10.1109/ICCVE.2014.7297652

Aytug Boyaci, M. Kaya, S. Dogan, Erhan Akbal, H. Eren

{"title":"A smart trip advice model by inter-car voting data over Internet towards pleasant driving","authors":"Aytug Boyaci, M. Kaya, S. Dogan, Erhan Akbal, H. Eren","doi":"10.1109/ICCVE.2014.7297652","DOIUrl":"https://doi.org/10.1109/ICCVE.2014.7297652","url":null,"abstract":"Almost every day we can observe that most of people spend quite a long time in traffic environment. In the course of driving, motorists occasionally desire to get traditional travel information, such as traffic, road, car and safety related driving data. In the near future, we shall quite likely mention about new generation drivers who wish to get social based data and its manipulation. Hence, we should develop new driver necessity strategies satisfying Internet based requirements of new generation drivers. Here, we propose a system offering sub-trip options without ruining driver's primary trip plan. In fact, we consider driving efficiency taking pleasure in driving by means of social computing rather exploiting traditional data manipulations such as safe driving, fuel-efficient driving, and obtaining traffic data. For the sake of new generation driver wishes, we develop a model using trip data and feedback information provided by drivers earlier visiting intended attraction place. Then, we utilize a social platform associated with central server holding social data such as road safety, weather conditions, and satisfaction rate of attraction place. In this study, we earlier define driver profiles as gourmand, shopaholic, adventurer, art lover, and technophile. Therefore, we propose a system satisfying possible sub-trip expectations of drivers having different profiles. Eventually, we have modeled a new generation inter car sub-route advice platform for pleasant and efficient trip.","PeriodicalId":171304,"journal":{"name":"2014 International Conference on Connected Vehicles and Expo (ICCVE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130599175","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: 0

Driver behaviour profiling using smartphone sensory data in a V2I environment 在V2I环境中使用智能手机感知数据进行驾驶员行为分析

2014 International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2014-11-01 DOI: 10.1109/ICCVE.2014.7297609

Chalermpol Saiprasert, S. Thajchayapong, Thunyasit Pholprasit, C. Tanprasert

{"title":"Driver behaviour profiling using smartphone sensory data in a V2I environment","authors":"Chalermpol Saiprasert, S. Thajchayapong, Thunyasit Pholprasit, C. Tanprasert","doi":"10.1109/ICCVE.2014.7297609","DOIUrl":"https://doi.org/10.1109/ICCVE.2014.7297609","url":null,"abstract":"Road traffic accidents prevention and mitigation are important issues that appear on top of the priority list of many countries around the world today. Many measures and approaches have been put in place in terms of policy level as well as technical level. Driver behaviour is one of many key factors that should be seriously considered to improve road safety. This paper proposes a method for driver behaviour profiling using sensory data on smartphones in a vehicle-to-infrastructure environment. Based on driving behaviours with the most risk to causing accidents, the profiling algorithm takes into account sudden driving events which occur during a journey to categorise drivers into different profiles according to their safety levels. The profiling algorithm offers the flexibility to adjust the parameters weightings in order to put an emphasis on specific driving events for different scenarios and applications. The impact on vehicle-to-infrastructure is that the stored driving profiles can be used to generate a norm for a given road section. Approaching vehicles deviating from the norm can be notified in real-time. Moreover, localised dangerous driving events can be clustered together to form a potential blackspot which can be deployed as an advanced warning for approaching vehicles as a location based service. As a result, the risk of road traffic accidents can be reduced. Real-world driving data was collected over two major routes in Thailand with four distinct profiles and five major factors to road accidents.","PeriodicalId":171304,"journal":{"name":"2014 International Conference on Connected Vehicles and Expo (ICCVE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123978962","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: 30

Optimised consensus for highway speed limits via intelligent speed advisory systems 通过智能速度咨询系统优化高速公路限速共识

2014 International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2014-11-01 DOI: 10.1109/ICCVE.2014.7297509

Yingqi Gu, Mingming Liu, E. Crisostomi, R. Shorten

引用次数: 10

A secure QoS proposal for vehicular networks 一种安全的车载网络QoS方案

2014 International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2014-11-01 DOI: 10.1109/ICCVE.2014.7297527

N. Lopes, Henrique Silva, Alexandre J. T. Santos

引用次数: 0

Modeling conducted noise propagation along high-voltage DC power buses for electric vehicle applications 模拟沿高压直流电源母线传导噪声的电动汽车应用

2014 International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2014-11-01 DOI: 10.1109/ICCVE.2014.7297611

A. Beltramelli, F. Grassi, G. Spadacini, S. Pignari

引用次数: 8

Cellular aided vehicular named data networking 蜂窝辅助车辆命名数据网络

2014 International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2014-11-01 DOI: 10.1109/ICCVE.2014.7297650

A. Bazzi, B. Masini, A. Zanella, C. D. Castro, C. Raffaelli, O. Andrisano

{"title":"Cellular aided vehicular named data networking","authors":"A. Bazzi, B. Masini, A. Zanella, C. D. Castro, C. Raffaelli, O. Andrisano","doi":"10.1109/ICCVE.2014.7297650","DOIUrl":"https://doi.org/10.1109/ICCVE.2014.7297650","url":null,"abstract":"With the recent new paradigm for the future Internet named data networking (NDN), contents are searched by names and not by address, and any node storing a content can also act as a source of information. Such a paradigm appears to be of particular interest for vehicular ad hoc networks (VANETs), to extend internet services to vehicles and support new mobile applications. In VANETs, devices not only use, but also generate contents; devices are generally not constrained in power or memory, thus easily carrying large amount of information; in addition, high mobility continuously creates new opportunities for data exchange. In such scenario, the TCP/IP networking paradigm shows some performance limitations and NDN appears as a way to improve reliability and efficiency of content distribution. However, when node density is limited, the exclusive use of short range communications might reduce the effectiveness of NDN. Motivated by this consideration, we propose the use of cellular networks to carry the signaling part of NDN, and the exploitation of short range wireless communications for content distribution. We will show, through simulations performed in an urban scenario with different vehicle densities, that moving the signaling part to cellular networks significantly improves the performance of NDN compared to the case when only short range communications are used.","PeriodicalId":171304,"journal":{"name":"2014 International Conference on Connected Vehicles and Expo (ICCVE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133894689","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: 33

Predictive longitudinal vehicle control based on vehicle-to-infrastructure communication 基于车-基础设施通信的预测纵向车辆控制

2014 International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2014-11-01 DOI: 10.1109/ICCVE.2014.7297552

Bernhard Knauder, Michael Karner, Markus Schratter

{"title":"Predictive longitudinal vehicle control based on vehicle-to-infrastructure communication","authors":"Bernhard Knauder, Michael Karner, Markus Schratter","doi":"10.1109/ICCVE.2014.7297552","DOIUrl":"https://doi.org/10.1109/ICCVE.2014.7297552","url":null,"abstract":"Governments, industries and last but not least customer's demand for low-pollutant, efficient and comfortable vehicles has extended the system development scope towards the combination of in-vehicle systems and environment. Whereas the information from the on-board systems is available for several functions per se, the environmental information has to be grabbed using sensors and/or communication devices. Optimizing fuel efficiency whilst offering a high driving comfort is the goal of the predictive cruise control functionality. An assistance function for intersections is presented within this paper. Traffic signal data is used to automatically adjust the optimal vehicle velocity during urban drive cycles through passages with intersections. The target is to avoid unnecessary acceleration and braking maneuvers which results in reduced fuel consumption. In combination with the adaptive cruise control function a full takeover of the longitudinal vehicle control is realized. Communication between vehicle and traffic lights is done using a wireless vehicle-to-infrastructure communication technique. The presented work describes the developed algorithm `Predictive Cruise Control - Intersection Assist' such as the coupled simulation environment for the examination of the function performance. The later one involves vehicle, driver, traffic lights and wireless transmission. The effect of varying communication ranges is considered using a probability distribution function. Within the study several scenarios with and without traffic were analyzed and evaluated. As a result the fuel efficiency of the implemented assistance function is confirmed. Furthermore a trip time reduction could be achieved in most of the scenarios.","PeriodicalId":171304,"journal":{"name":"2014 International Conference on Connected Vehicles and Expo (ICCVE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131027163","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: 5