13th International IEEE Conference on Intelligent Transportation Systems最新文献_第6页

Lane distribution of traffic near merging zones influence of variable speed limits 变速限制对合并区附近车道分布的影响

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625034

V. Knoop, Aurélien Duret, C. Buisson, B. Arem

引用次数: 87

Analysis and assessment of far infrared sensor performance parameters and their impact on pedestrian detection 远红外传感器性能参数分析与评价及其对行人检测的影响

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625274

S. Franz, R. Schweiger, O. Löhlein, K. Kroschel

引用次数: 3

An evolutionary multi-objective approach for speed tuning optimization with energy saving in railway management 铁路管理中节能调速优化的多目标演化方法

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625026

R. Chevrier

引用次数: 33

Detection and classification of painted road objects for intersection assistance applications 用于交叉口辅助应用的涂漆道路物体的检测和分类

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625261

R. Danescu, S. Nedevschi

引用次数: 49

ANFIS based modeling and prediction car following behavior in real traffic flow based on instantaneous reaction delay 基于ANFIS的基于瞬时反应延迟的真实交通流车辆跟随行为建模与预测

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625130

A. Khodayari, A. Ghaffari, R. Kazemi, N. Manavizadeh

{"title":"ANFIS based modeling and prediction car following behavior in real traffic flow based on instantaneous reaction delay","authors":"A. Khodayari, A. Ghaffari, R. Kazemi, N. Manavizadeh","doi":"10.1109/ITSC.2010.5625130","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625130","url":null,"abstract":"Nowadays, car following models, as the most popular microscopic traffic flow modeling, are increasingly being used by transportation experts to evaluate new Intelligent Transportation System (ITS) applications. This paper presents a car-following model that was developed using an adaptive neuro fuzzy inference system (ANFIS) to simulate and predict the future behavior of a Driver-Vehicle-Unit (DVU). This model was developed based on new idea for calculate and estimate the instantaneous reaction of DVU. This idea was used in selection of inputs and outputs in train of ANFIS model. Integration of the driver's reaction time delay and omission of the necessity of regime classification are considered while developing the model. The model's performance was evaluated based on field data and compared to a number of existing car following models. The results showed that new model based on instantaneous reaction delay outperformed the other car-following models. The model was validated at the microscopic level, and the results showed very close agreement between field data and model outputs. The proposed model can be recruited in Drier Assistant devices, Safe Distance Keeping Observers, Collision Prevention systems and other ITS applications.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"76 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":"132229567","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: 39

Detection and tracking of independently moving objects in urban environments 城市环境中独立运动物体的检测和跟踪

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625265

B. Kitt, Benjamin Ranft, Henning Lategahn

引用次数: 22

Block-matching based optical flow estimation with reduced search space based on geometric constraints 基于几何约束的压缩搜索空间的块匹配光流估计

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625181

B. Kitt, Benjamin Ranft, Henning Lategahn

引用次数: 14

Ubiquitous architecture for environmental sensor networks in road traffic applications 道路交通应用中环境传感器网络的泛在架构

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625110

J. Guevara, E. Cabral, F. Barrero, S. T. Marín

引用次数: 6

Towards the life-cycle of VMS configurations 迈向VMS配置生命周期

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625068

Christoph Stögerer, T. Novak, W. Kastner

引用次数: 0

Effects of ITS-based left turn policies on network performance 基于its的左转策略对网络性能的影响

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625269

Ali Hajbabaie, J. C. Medina, R. Benekohal

{"title":"Effects of ITS-based left turn policies on network performance","authors":"Ali Hajbabaie, J. C. Medina, R. Benekohal","doi":"10.1109/ITSC.2010.5625269","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625269","url":null,"abstract":"Increasing transportation network capacity is very important, particularly in congested traffic condition. In certain conditions, providing left turn green time could reduce intersection capacity because of: a) larger lost time due to added phase, and b) shorter green time for the through traffic movements. In this study, we will compare the effects of three ITS-based left turn policies on the performance of a congested transportation network. The base policy is allowing left turns in all intersections along a corridor of the network with high traffic demand. The second policy is prohibiting them in some intersections of that corridor, while the third policy is removing these turning movements from all intersections along that corridor. When a left turn is removed, the left turners are rerouted in the network. To make sure that in each policy the network is working at its optimal condition, we used Genetic Algorithms (GAs) to determine optimal signal timing parameters for each policy. The results showed that prohibiting left turns in every other intersection along an arterial of the case study network increased the total number of vehicles processed by the network by 6.6% and resulted in a total of 2550 processed vehicles and reduced average delay per vehicle by 10.7% resulting in delay of 196.3 seconds per vehicle. Removing left turns from all intersections along an arterial of the network increased the total number of vehicles processed by the network by 9.1% and resulted in 2607 processed vehicles. This policy resulted in a decrease in average delay per vehicle by 3.1% and resulted in 213.0 seconds of delay per vehicle. Thus, in periods of heavy traffic demand for through movement and low traffic demand for left turns, prohibiting left turns in all or some intersections of a network could result in a significant increase in the performance of the network as well as a significant decrease in delay per vehicle.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"12 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":"125039843","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: 17