13th International IEEE Conference on Intelligent Transportation Systems最新文献_第10页

Modeling and clustering network-level urban traffic status based on traffic flow assignment ratios 基于交通流分配比的网络级城市交通状态建模与聚类

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625105

Li Qu, Jianming Hu, Yi Zhang

引用次数: 3

A developmental framework towards dynamic incident rerouting using vehicle-to-vehicle communication and multi-agent systems 使用车对车通信和多代理系统的动态事件重新路由的发展框架

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625251

S. Boskovich, K. Boriboonsomsin, M. Barth

引用次数: 6

Micro-simulation study of the effect of median bus lanes with midblock stop on capacity of urban signalized intersection 带中间站的中间车道对城市信号交叉口通行能力影响的微观模拟研究

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625099

Xu-mei Chen, Pei Cai, Lin Zhu, Lei Yu

引用次数: 4

Effects of Cooperative Adaptive Cruise Control on traffic flow stability 协同自适应巡航控制对交通流稳定性的影响

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625133

W. Schakel, B. Arem, B. Netten

引用次数: 237

I2V and V2V communication based VANET to optimize fuel consumption at traffic signals 基于I2V和V2V通信的VANET优化交通信号的燃油消耗

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625163

Kumar P. Sanketh, S. Subbarao, Kushal A. Jolapara

引用次数: 10

Model-free control techniques for Stop & Go systems 停走系统的无模型控制技术

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625228

J. Villagrá, V. M. Montero, Joshué Pérez, Carlos González

引用次数: 18

Development of fuel and emission models for high speed heavy duty trucks, light duty trucks, and light duty vehicles 开发高速重型卡车、轻型卡车和轻型车辆的燃料和排放模型

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5624972

Sangjun Park, Hesham A Rakha, M. Farzaneh, J. Zietsman, Doh-Won Lee

{"title":"Development of fuel and emission models for high speed heavy duty trucks, light duty trucks, and light duty vehicles","authors":"Sangjun Park, Hesham A Rakha, M. Farzaneh, J. Zietsman, Doh-Won Lee","doi":"10.1109/ITSC.2010.5624972","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5624972","url":null,"abstract":"The current state-of-practice emission modeling tools, namely: MOBILE, EMFAC, the Comprehensive Modal Emission Model (CMEM), and VT-Micro model do not provide reliable emission estimates for high speeds greater than 80 mph since the models do not have supporting data at these high speeds. Consequently, the research presented in this paper gathers field data and develops models for the estimation of fuel consumption, carbon dioxide (CO2), carbon monoxide (CO), nitric oxide (NO), nitrogen dioxide (NO2), nitrogen oxides (NOX), hydrocarbon (HC), and particulate matter (PM) emissions at high speeds. A total of nine vehicles including three semi-trucks, three pick-up trucks, and three passenger cars are tested on a nine-mile test track in Pecos, Texas. The fuel consumption and emission rates are measured using two portable emission measurement systems. Models are developed using these data, producing minimum errors for fuel consumption, CO2, NO2, HC, and PM emissions. Alternatively, the NO and NOX emission models produce the highest errors with the least degree of correlation. The study demonstrates that the newly constructed models overcome the shortcomings of the state-of-practice models and can be utilized to evaluate the environmental impacts of high speed vehicles.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123276311","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: 19

Platooning of autonomous vehicles with intervehicle communications in SUMO traffic simulator 相扑交通模拟器中具有车辆间通信的自动驾驶车辆队列

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625277

Pedro Fernandes, U. Nunes

引用次数: 114

Statistical method for sub-pixel interpolation function estimation 亚像素插值函数估计的统计方法

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625173

István Haller, C. Pantilie, T. Mariţa, S. Nedevschi

{"title":"Statistical method for sub-pixel interpolation function estimation","authors":"István Haller, C. Pantilie, T. Mariţa, S. Nedevschi","doi":"10.1109/ITSC.2010.5625173","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625173","url":null,"abstract":"Depth accuracy is one of the most important characteristics for sensors used in distance estimation. Stereo-vision systems employ sub-pixel interpolation to achieve such accuracy. Literature in this domain is usually dedicated to simple window based stereo solutions. There are currently several new stereo algorithms developed to counter pixel level errors, but they neglect sub-pixel results. We propose the use of function fitting to generate interpolation functions optimized for each algorithm type. Dedicated interpolation functions require the mathematical model of the algorithm. In the proposed methodology of generating the interpolation function the explicit model of the stereo algorithm is replaced by modeling the data distribution resulted from a pre-defined input. Several transformations are also proposed to reduce the dimensionality of the fitting data without loosing any information. The most accurate match for the fitting data-set was a sinusoidal function, a novel shape for sub-pixel interpolation. The function shows a significant improvement compared to legacy solutions, by reducing the error magnitude by several factor for both synthetic and real scenarios. sf]Y","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130550788","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: 8

The effects of the control and prediction horizons on the urban traffic regulation 控制和预测视界对城市交通调控的影响

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625056

Sofiene Kachroudi, S. Mammar

引用次数: 3