International Conference on Vehicle Technology and Intelligent Transport Systems最新文献_第9页

The Feasibility of using V2G to Face the Peak Demand in Warm Countries 利用V2G应对气候温暖国家高峰需求的可行性

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2018-03-01 DOI: 10.5220/0006661502380242

I. A. Almansour, E. Gerding, G. Wills

{"title":"The Feasibility of using V2G to Face the Peak Demand in Warm Countries","authors":"I. A. Almansour, E. Gerding, G. Wills","doi":"10.5220/0006661502380242","DOIUrl":"https://doi.org/10.5220/0006661502380242","url":null,"abstract":"As a result of the very difficult weather in Saudi Arabia during the summer, there is too high power peak demand in the grid and this is expected to increase in the next decade. To fix this problem, power consumers should participate in the power production. Vehicle-to-grid (V2G), one of the efficient sustainable technologies, can offer this opportunity. It is defined as a concept where electric vehicle (EV) provides electric to the grid when parked. This investigation looks at the feasibility of using V2G to mitigate the problem of highest electricity peak demand in the summer period in one of the warmest countries of the world (Saudi Arabia). We conduct a survey in order to serve this issue and we use information from Saudi Arabia electricity authority. We found that, V2G is a promising solution to the peak demand challenge in the summer in Saudi Arabia since there is about 80% of the sample interested in using V2G technology. Moreover, 90% of the participants used their vehicles less than 4 hours daily. Furthermore, in the summer period, most of the participants park their vehicles for the longest time between 13:00 to 18:00, which is the peak demand period.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129732526","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: 1

Non-intrusive Distracted Driving Detection based on Driving Sensing Data 基于驾驶感知数据的非侵入式分心驾驶检测

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2018-03-01 DOI: 10.5220/0006708401780186

Sasan Jafarnejad, G. Castignani, T. Engel

{"title":"Non-intrusive Distracted Driving Detection based on Driving Sensing Data","authors":"Sasan Jafarnejad, G. Castignani, T. Engel","doi":"10.5220/0006708401780186","DOIUrl":"https://doi.org/10.5220/0006708401780186","url":null,"abstract":"Nowadays Internet-enabled phones have become ubiquitous, and we all witness the flood of information that often arrives with a notification. Most of us immediately divert our attention to our phones even when we are behind the wheel. Statistics show that drivers use their phone on 88% of their trips, in 2015 in the United Kingdom 25% of the fatal accidents were caused by distraction or impairment. Therefore there is need to tackle this issue. However, most of the distraction detection methods either use expensive dedicated hardware and/or they make use of intrusive or uncomfortable sensors. We propose a distracted driving detection mechanism using non-intrusive vehicle sensor data. In the proposed method 8 driving signals are used. The data is collected, then two sets of statistical and cepstral features are extracted using a sliding window process, further a classifier makes a prediction for each window frame, lastly, a decision function takes the last l predictions and makes the final prediction. We evaluate the subject independent performance of the proposed mechanism using a driving dataset consisting of 13 drivers. We show that performance increases as the decision window gets larger. We achieve the best results using a Gradient Boosting classifier with a decision window of total duration 285 seconds which yields ROC AUC of 98.7%.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115477319","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

Adaptive Decision Making based on Temporal Information Dynamics 基于时间信息动力学的自适应决策

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2018-03-01 DOI: 10.5220/0006687900910102

Tobias Meuser, M. Wende, Patrick Lieser, Björn Richerzhagen, R. Steinmetz

引用次数: 6

Dynamic Pricing and Energy Management Strategy for EV Charging Stations under Uncertainties 不确定条件下电动汽车充电站动态定价与能量管理策略

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2018-01-08 DOI: 10.5220/0005797100490059

Chao-chun Luo, Yih-Fang Huang, V. Gupta

{"title":"Dynamic Pricing and Energy Management Strategy for EV Charging Stations under Uncertainties","authors":"Chao-chun Luo, Yih-Fang Huang, V. Gupta","doi":"10.5220/0005797100490059","DOIUrl":"https://doi.org/10.5220/0005797100490059","url":null,"abstract":"This paper presents a dynamic pricing and energy management framework for electric vehicle (EV) charging service providers. To set the charging prices, the service providers faces three uncertainties: the volatility of wholesale electricity price, intermittent renewable energy generation, and spatial-temporal EV charging demand. The main objective of our work here is to help charging service providers to improve their total profits while enhancing customer satisfaction and maintaining power grid stability, taking into account those uncertainties. We employ a linear regression model to estimate the EV charging demand at each charging station, and introduce a quantitative measure for customer satisfaction. Both the greedy algorithm and the dynamic programming (DP) algorithm are employed to derive the optimal charging prices and determine how much electricity to be purchased from the wholesale market in each planning horizon. Simulation results show that DP algorithm achieves an increased profit (up to 9%) compared to the greedy algorithm (the benchmark algorithm) under certain scenarios. Additionally, we observe that the integration of a low-cost energy storage into the system can not only improve the profit, but also smooth out the charging price fluctuation, protecting the end customers from the volatile wholesale market.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122487511","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: 11

Integration of Vehicle Detection and Distance Estimation using Stereo Vision for Real-Time AEB System 基于立体视觉的实时AEB车辆检测与距离估计集成

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2017-08-21 DOI: 10.5220/0006296702110216

Byeonghak Lim, Taekang Woo, Hakil Kim

{"title":"Integration of Vehicle Detection and Distance Estimation using Stereo Vision for Real-Time AEB System","authors":"Byeonghak Lim, Taekang Woo, Hakil Kim","doi":"10.5220/0006296702110216","DOIUrl":"https://doi.org/10.5220/0006296702110216","url":null,"abstract":"We propose an integrated system for vehicle detection and distance estimation for real-time autonomous emergency braking (AEB) systems using stereo vision. The two main modules, object detection and distance estimation, share a disparity extraction algorithm in order to satisfy real-time processing requirements. The object detection module consists of an object candidate region generator and a classifier. The object candidate region generator uses stixels extracted from image disparity. A surface normal vector is computed for validation of the candidate regions, which reduces false alarms in the object detection results. In order to classify the proposed stixel regions into foreground and background regions, we use a convolutional neural network (CNN)-based classifier. The distance to an object is estimated from the relationship between the image disparity and camera parameters. After distance estimation, a height constraint is applied with respect to the distance using geometric information. The detection accuracy and distance error rate of the proposed method are evaluated using the KITTI datasets, and the results demonstrate promising performance.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123155987","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: 7

Real-Time Schedule Optimization in Shared Electric Vehicle Fleets 共享电动汽车实时调度优化

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2017-05-20 DOI: 10.5220/0005754602530263

Falko Koetter, J. Ostermann

引用次数: 0

Distributed Transmit Power Control for Beacons in VANET VANET中信标的分布式发射功率控制

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2017-04-24 DOI: 10.5220/0006289401810187

F. Goudarzi, H. Al-Raweshidy

引用次数: 10

Experimental Comparison of Single-Phase Active Rectifiers for EV Battery Chargers 电动汽车电池充电器单相有源整流器的实验比较

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2017-04-22 DOI: 10.5220/0006391804190425

V. Monteiro, J. G. Pinto, J. C. A. Fernandes, J. Afonso

引用次数: 7

Autonomous Aerial Vehicle - Based on Non-Monotonic Logic 基于非单调逻辑的自主飞行器

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2017-04-22 DOI: 10.5220/0006304002360241

J. Medina, P. Siegel, A. Doncescu

引用次数: 0

New Opportunities and Perspectives for the Electric Vehicle Operation in Smart Grids and Smart Homes Scenarios 智能电网和智能家居场景下电动汽车运行的新机遇和前景

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2017-04-22 DOI: 10.5220/0006386804000407

V. Monteiro, J. Ferreira, J. G. Pinto, J. Afonso

{"title":"New Opportunities and Perspectives for the Electric Vehicle Operation in Smart Grids and Smart Homes Scenarios","authors":"V. Monteiro, J. Ferreira, J. G. Pinto, J. Afonso","doi":"10.5220/0006386804000407","DOIUrl":"https://doi.org/10.5220/0006386804000407","url":null,"abstract":"New perspectives for the electric vehicle (EV) operation in smart grids and smart homes context are presented. Nowadays, plugged-in EVs are equipped with on-board battery chargers just to perform the charging process from the electrical power grid (G2V – grid-to-vehicle mode). Although this is the main goal of such battery chargers, maintaining the main hardware structure and changing the digital control algorithm, the on-board battery chargers can also be used to perform additional operation modes. Such operation modes are related with returning energy from the batteries to the power grid (V2Gvehicle-to-grid mode), constraints of the electrical installation where the EV is plugged-in (iG2V – improved grid-tovehicle mode), interface of renewables, and contributions to improve the power quality in the electrical installation. Besides the contributions of the EV to reduce oil consumption and greenhouse gas emissions associated to the transportation sector, through these additional operation modes, the EV also represents an important contribution for the smart grids and smart homes paradigms. Experimental results introducing the EV through the aforementioned interfaces and operation modes are presented. An on-board EV battery charger prototype was used connected to the power grid for a maximum power of 3.6 kW.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133340676","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: 1