16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)最新文献_第5页

Stochastic predictive control for semi-autonomous vehicles with an uncertain driver model 具有不确定驾驶员模型的半自动驾驶车辆随机预测控制

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728575

A. Gray, Yiqi Gao, Theresa Lin, J. Karl Hedrick, F. Borrelli

引用次数: 80

A real-time capable enhanced dynamic programming approach for predictive optimal cruise control in hybrid electric vehicles 混合动力汽车预测最优巡航控制的实时增强动态规划方法

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728468

Hans-Georg Wahl, Kai-Lukas Bauer, F. Gauterin, Marc Holzäpfel

引用次数: 25

Low speed automation: Technical feasibility of the driving sharing in urban areas 低速自动化:城市共享驾驶的技术可行性

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728271

Paulo Resende, Evangeline Pollard, Hao Li, F. Nashashibi

引用次数: 9

Driver familiarity modeling for generating navigation directions 用于生成导航方向的驾驶员熟悉度建模

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728553

Deepak Ramachandran, I. Karpov, Rakesh Gupta, Antoine Raux

{"title":"Driver familiarity modeling for generating navigation directions","authors":"Deepak Ramachandran, I. Karpov, Rakesh Gupta, Antoine Raux","doi":"10.1109/ITSC.2013.6728553","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728553","url":null,"abstract":"Current and future in-vehicle personal assistant systems stand to benefit from knowledge of the level of familiarity that the driver has with different parts of the current route. Such systems could use this information to adapt driving directions to be more succinct, understandable and personalized. However accumulating evidence of familiarity by direct experience alone could take many months and still be incomplete. Instead, we propose building predictive models of driver familiarity with road networks by generalizing intelligently from a small sample of data. Inspired by psychology studies that suggest a variety of cognitive models of route familiarity in humans, we present an ensemble of familiarity models using different machine learning methods on GPS time series data collected during normal driving by a volunteer pool of 22 drivers from San Francisco Bay area. We validate the models' predictions through an extensive questionnaire administered to the subjects about route familiarity and need for directions along select routes. Our results indicate that a significant component of driver familiarity can be predicted from unobtrusively collected driving data. We conclude with a proposed approach for integrating such models with a generator of driving directions.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133643066","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: 3

Vehicle logo recognition in traffic images using HOG features and SVM 基于HOG特征和SVM的交通图像车辆标志识别

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728559

D. F. Llorca, R. Arroyo, M. Sotelo

引用次数: 123

Particle filtering for lane-level map-matching at road bifurcations 道路分岔处车道级地图匹配的粒子滤波

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728226

Isabella Szottka

引用次数: 17

A real-time interval constraint propagation method for vehicle localization 车辆定位的实时区间约束传播方法

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728475

I. Kueviakoe, A. Lambert, P. Tarroux

引用次数: 5

Generating lane level road data from vehicle trajectories using Kernel Density Estimation 利用核密度估计从车辆轨迹生成车道水平道路数据

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728262

E. Uduwaragoda, Amal Shegan Perera, S. Dias

引用次数: 29

A HLA-based multi-resolution approach to simulating electric vehicles in simulink and SUMO 基于hla的电动汽车simulink和SUMO多分辨率仿真方法

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728581

J. Macedo, Zafeiris Kokkinogenis, Guilherme Soares, D. Perrotta, R. Rossetti

{"title":"A HLA-based multi-resolution approach to simulating electric vehicles in simulink and SUMO","authors":"J. Macedo, Zafeiris Kokkinogenis, Guilherme Soares, D. Perrotta, R. Rossetti","doi":"10.1109/ITSC.2013.6728581","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728581","url":null,"abstract":"Traffic congestion affects not only the economic activity of cities but is also responsible for air quality and global warming problems. The employment of electric buses in metropolitan transportation as an alternative to internal combustion engine buses appears to be a promising eco-sustainable solution. However, an important aspect in evaluating the performance and adequateness of such vehicles is the fact they are immersed in an urban context. This work follows a HLA-based distributed architecture for electric bus powertrain simulation within a realistic urban mobility environment. In that sense, it discusses on coupling the SUMO (Simulation of Urban MObility) microscopic traffic simulator with a model of an electric bus powertrain subsystem designed in the MatLab/Simulink environment. Both the electric bus traction subsystems and the integration have been validated using field test experimental data. The proposed simulation framework is multi-faceted. As a matter of fact it can be used, not only as electric vehicle evaluation tool under different dynamics of traffic conditions and driving behavior, but also as a planner for charging strategies and optimizations.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117172130","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

Microscopic resource assignment model and Lagrangian relaxation based algorithm for train operation scheduling in railway station 基于拉格朗日松弛的车站列车调度微观资源分配模型及算法

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728415

Y. Yue, Song Han, Leishan Zhou, H. Rakha

引用次数: 3