2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)最新文献_第5页

A selection algorithm for power controller unit of hybrid vehicles 混合动力汽车动力控制器单元的选择算法

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082910

H. Chin, A. A. Jafari

引用次数: 9

Peer-based communication for a distributed, virtual Traffic Management Center 分布式、虚拟流量管理中心的对等通信

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6083123

Basel H. Kilani, Patrick A. Campbell, J. Havlicek, M. Tull, A. R. Stevenson, Ronald D. Barnes

{"title":"Peer-based communication for a distributed, virtual Traffic Management Center","authors":"Basel H. Kilani, Patrick A. Campbell, J. Havlicek, M. Tull, A. R. Stevenson, Ronald D. Barnes","doi":"10.1109/ITSC.2011.6083123","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6083123","url":null,"abstract":"In an effort to monitor and alleviate roadway traffic conditions, the Oklahoma Department of Transportation (ODOT) has deployed a statewide Intelligent Transportation Systems (ITS) architecture consisting of a large number of devices, including cameras, dynamic message signs, and speed sensors along Oklahoma highways. These devices are connected throughout a private ITS fiber-optic network to controlling stations located at stakeholder agencies statewide, forming a virtual Traffic Management Center (TMC). This decentralized approach allows individual consoles on the virtual TMC to display and control reachable devices even if portions of the network become disconnected. Enabling this fault-tolerant design is a novel peer-based communications protocol. The communication system is dynamically configured and automatically resolves communications regardless of network configuration. This paper introduces this robust peer-based approach and describes its implementation within the Oklahoma virtual TMC. Results of this implementation of the system are also presented.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126388560","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

Driver/vehicle state estimation and detection 驾驶员/车辆状态估计和检测

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6083095

V. Gadepally, A. Kurt, A. Krishnamurthy, Ü. Özgüner

{"title":"Driver/vehicle state estimation and detection","authors":"V. Gadepally, A. Kurt, A. Krishnamurthy, Ü. Özgüner","doi":"10.1109/ITSC.2011.6083095","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6083095","url":null,"abstract":"The authors present a cyber-physical systems related study on the estimation and prediction of driver states in autonomous vehicles. The first part of this study extends on a previously developed general architecture for estimation and prediction of hybrid-state systems. The extended system utilizes the hybrid characteristics of decision-behavior coupling of many systems such as the driver and the vehicle; uses Kalman Filter estimates of observable parameters to track the instantaneous discrete state, and predicts the most likely outcome. Prediction of the likely driver state outcome depends on the higher level discrete model and the observed behavior of the continuous subsystem. Two approaches to estimate the discrete driver state from filtered continuous observations are presented: rule based estimation, and Hidden Markov Model (HMM) based estimation. Extensions to a prediction application is described through the use of Hierarchical Hidden Markov Models (HHMMs). The proposed method is suitable for scenarios that involve unknown decisions of other individuals, such as lane changes or intersection precedence/access. An HMM implementation for multiple tasks of a single vehicle at an intersection is presented along with preliminary results.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121336986","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: 30

Drowsiness monitoring based on driver and driving data fusion 基于驾驶员与驾驶数据融合的困倦监测

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082907

I. G. Daza, N. Hernández, L. Bergasa, I. Parra, J. Yebes, M. Gavilán, R. Quintero, D. F. Llorca, M. Sotelo

引用次数: 60

On vehicle data acquisition system 车辆数据采集系统

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082975

P. Kucera, O. Hyncica, P. Honzík, Karel Pavlata, K. Horak

引用次数: 5

Some practical vehicle speed estimation methods by a single traffic magnetic sensor 一些实用的单路交通磁传感器车速估计方法

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6083076

Haijian Li, Honghui Dong, L. Jia, Dongwei Xu, Yong Qin

{"title":"Some practical vehicle speed estimation methods by a single traffic magnetic sensor","authors":"Haijian Li, Honghui Dong, L. Jia, Dongwei Xu, Yong Qin","doi":"10.1109/ITSC.2011.6083076","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6083076","url":null,"abstract":"This paper proposes three practical vehicle speed estimation methods by a single multifunction magnetic sensor. Compared with traditional methods, this algorithm is simple and convenient to be realized. The multifunction magnetic sensor is described and introduced in this work. Next, a vehicle detection algorithm with a linear time complexity is put forward. Through setting two windows and scanning the vehicle waveform, we obtain the points of vehicle approaching and vehicle leaving, which are the bases for vehicle count, headway time, time occupancy, stopping time, detection of vehicle stopping and presence. The detailed detection methods of vehicle stopping and presence are described. We next present some speed estimation methods in detail. According to three speed estimation methods of Vehicle Length based (VLB), Time Difference based (TDB) and Mean Value based (MVB) to get different reference speeds when a vehicle passes over the sensor, we then analyze the applicability of the three methods. At last, we test the speed estimation methods by adoption of field data. Through the comparison with the real speed of 45 vehicles, it shows that the mean absolute errors (MAE) of VLB, TDB and MVB methods are respectively 4.12km/h, 5.90km/h and 4.05km/h and the mean speed errors of the three methods are all less than 1km/h. These errors are suitable for traffic engineering.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126482709","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: 25

Comparison of local feedback controllers for the mainstream traffic flow on freeways using variable speed limits 采用可变限速的高速公路主流交通流局部反馈控制器的比较

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1080/15472450.2012.721330

R. C. Carlson, I. Papamichail, M. Papageorgiou

引用次数: 62

Daily visitor volume forecasts for Expo 2010 Shanghai China 2010年中国上海世博会日游客数量预测

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082994

Yang Zhang

引用次数: 1

Estimation of a three-dimensional gaze point and the gaze target from the road images 从道路图像中估计三维凝视点和凝视目标

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6083129

Kenji Takagi, H. Kawanaka, Md. Shoaib Bhuiyan, K. Oguri

引用次数: 12

Indirect network-wide energy/emissions benefits from dynamic eco-driving on signalized corridors 间接网络范围内的能源/排放受益于信号走廊上的动态生态驾驶

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6083073

Haitao Xia, K. Boriboonsomsin, M. Barth

{"title":"Indirect network-wide energy/emissions benefits from dynamic eco-driving on signalized corridors","authors":"Haitao Xia, K. Boriboonsomsin, M. Barth","doi":"10.1109/ITSC.2011.6083073","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6083073","url":null,"abstract":"In recent years there has been significant interest in intelligent transportation technology that has specific energy and environmental benefits. Among these, dynamic eco-driving techniques on signalized corridors are being developed and employed with energy and environmental benefits (e.g., lower fuel consumption and emissions) in the general range of 5% to 20% for the individual vehicles that have the technology (the vehicles that are able to plan their velocity trajectories before they approaching an intersection, basing on the signal phase and timing (SPAT) information through dedicated short-range communication (DSRC)). The topic of this paper addresses the question on whether there are any additional network-wide energy/emissions benefits for the overall traffic from initial low-penetration rates of the technology. To this end, we have carried out a research study consisting of an extensive set of traffic simulations for an arterial corridor with different levels of congestion and different penetration rates of dynamic eco-driving technology. It is found that there are indeed indirect network-wide energy and emissions benefits for the overall traffic, even at low penetration rates of the dynamic eco-driving technology-equipped vehicles. In the experiments, the maximum fuel saving and emission reduction occurs during medium congestion (corresponding to traffic volume of 300 vehicles/lane/hour) and with low penetration rates (5%, 10% and 20%). Under these conditions, the total traffic energy/emissions typically triple what is saved from the technology-equipped vehicles alone (e.g., total 4% savings compared to 1.3% savings).","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122483967","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