2009 12th International IEEE Conference on Intelligent Transportation Systems最新文献

One million plug-in electric vehicles on the road by 2015 到2015年，将有100万辆插电式电动汽车上路

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309691

A. Saber, G. Venayagamoorthy

引用次数: 109

Hierarchical route choice control for baggage handling systems 行李处理系统的分层路线选择控制

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309846

A. Tarau, B. Schutter, H. Hellendoorn

{"title":"Hierarchical route choice control for baggage handling systems","authors":"A. Tarau, B. Schutter, H. Hellendoorn","doi":"10.1109/ITSC.2009.5309846","DOIUrl":"https://doi.org/10.1109/ITSC.2009.5309846","url":null,"abstract":"We propose a hierarchical control framework for state-of-the-art baggage handling systems where the luggage is transported by fast destination coded vehicles (DCVs). In this control framework switch controllers provide position instructions for each switch in the network. A collection of switch controllers is then supervised by a network controller that mainly takes care of the route choice instructions for DCVs. The route choice control problem is problem is a nonlinear, mixed integer optimization problem, with high computational requirements, which makes it intractable in practice. Therefore, we present an alternative approach for reducing the complexity of the computations by approximating the nonlinear optimization problem and rewriting it as a mixed integer linear programming (MILP) problem for which solvers are available that allow us to efficiently compute the global optimal solution. The solution of the MILP problem is then used in computing optimal switch control actions. For a benchmark case study we compare the hierarchical control with centralized switch control. The results indicate that the proposed hierarchical control offers a balanced trade-off between optimality and computational efficiency.","PeriodicalId":268587,"journal":{"name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115492310","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: 12

A novel approach to lane detection and tracking 一种新的车道检测与跟踪方法

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309855

M. Meuter, Stefan Müller-Schneiders, A. Mika, S. Hold, C. Nunn, A. Kummert

引用次数: 57

Prediction of traffic density for congestion analysis under Indian traffic conditions 印度交通状况下交通密度预测的拥堵分析

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309716

Ameena S Padiath, L. Vanajakshi, S. Subramanian, Harish Manda

{"title":"Prediction of traffic density for congestion analysis under Indian traffic conditions","authors":"Ameena S Padiath, L. Vanajakshi, S. Subramanian, Harish Manda","doi":"10.1109/ITSC.2009.5309716","DOIUrl":"https://doi.org/10.1109/ITSC.2009.5309716","url":null,"abstract":"Traffic congestion is a serious problem which traffic engineers all over the world are trying to solve. Congestion increases the uncertainty in travel times leading to human stress and unsafe traffic situations. Better management of traffic through Intelligent Transportation Systems (ITS) applications, especially by predicting the congestion on various roads and informing the travelers regarding the same is one possible solution. Accurate and quick prediction is one of the important factors on which the reliability of such a system depends. If one is able to predict congestion on a roadway, then the travelers can be warned of the same either pre-trip or enroute so that they can take well informed travel decisions. The number of vehicles in a given stretch of a roadway (usually referred to as “traffic density”) is one of the most commonly used congestion indicator. Also, the travelers in general will be more interested to know what they can expect when they make the trip in future rather than the present scenario. This makes the short term prediction to future time intervals important. In this study, some of the reported techniques for density prediction under homogeneous traffic conditions are attempted under heterogeneous traffic conditions in order to determine their feasibility under the Indian traffic scenario.","PeriodicalId":268587,"journal":{"name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121905185","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: 41

Optimal path in dynamic and stochastic networks 动态和随机网络中的最优路径

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309878

Tahar Berradia, J. Mouzna

引用次数: 0

Providing VANET position integrity through filtering 通过滤波提供VANET位置完整性

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309674

Gongjun Yan, Xingwang Chen, S. Olariu

引用次数: 26

Multi-sensor integration in the vehicular system using the IEEE1451 Std.: A case study 基于IEEE1451标准的车载系统多传感器集成:一个案例研究

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309836

F. Cortés, F. Barrero, S. T. Marín, J. Prieto, J. Guevara

引用次数: 7

Vehicle recognition and TTC estimation at night based on spotlight pairing 基于聚光灯配对的夜间车辆识别与TTC估计

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309848

Steffen Gonner, Dennis Müller, S. Hold, M. Meuter, A. Kummert

{"title":"Vehicle recognition and TTC estimation at night based on spotlight pairing","authors":"Steffen Gonner, Dennis Müller, S. Hold, M. Meuter, A. Kummert","doi":"10.1109/ITSC.2009.5309848","DOIUrl":"https://doi.org/10.1109/ITSC.2009.5309848","url":null,"abstract":"Forward Collision Warning (FCW) together with Lane Departure Warning (LDW) and Electronic Stability Control (ESC) can highly contribute to a safer traffic environment. Therefore those three systems will be supported by the US NCAP (New Car Assessment Program) until the end of 2009 and rewarded in the new active safety rating. LDW and ESC are already on the market whereas development on the first vision-based FCW systems is still ongoing and enforced. This paper will give a short overview on common approaches in vehicle recognition and focus on nighttime conditions. Based on existing head- and taillight detection algorithms for Adaptive Headlamp Control (AHC) a novel vehicle detection algorithm is presented. The main challenge hereby is the accurate pairing of detected vehicle spots. The developed system also contains rough distance estimation and a robust Time-To-Collision (TTC) calculation. Sequences in various traffic conditions with hand-labeled vehicles serve as an evaluation set for the vehicle detection performance. Ground truth for TTC is available by radar sensor data. The system proves to be robust in various near-collision situations.","PeriodicalId":268587,"journal":{"name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130667501","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: 40

Structural health monitoring and structural identification for long-span bridges 大跨度桥梁结构健康监测与结构识别

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309514

K. Grimmelsman

引用次数: 1

Fog detection system based on computer vision techniques 基于计算机视觉技术的雾检测系统

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309842

Sebastián Bronte, L. Bergasa, P. Alcantarilla

引用次数: 99