13th International IEEE Conference on Intelligent Transportation Systems最新文献_第7页

Modeling framework for the evaluation of alternative truck lane management strategies 货车车道管理备选策略评价的建模框架

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625022

Hesham A Rakha, Ihab El-Shawarby, Sangjun Park, M. Arafeh

{"title":"Modeling framework for the evaluation of alternative truck lane management strategies","authors":"Hesham A Rakha, Ihab El-Shawarby, Sangjun Park, M. Arafeh","doi":"10.1109/ITSC.2010.5625022","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625022","url":null,"abstract":"This paper develops and validates a modeling framework for the evaluation of alternative truck lane management strategies. The framework is used to evaluate alternative truck lane management strategies along a section of Interstate 81, VA. The average light-duty and heavy-duty vehicle speeds produced by the simulation model were found to be consistent with field observations for the base condition. Three scenarios were considered, including: (a) adding a single lane to section 2 (from mileposts 125.0 to 120.7); (b) adding a single lane across sections 1 (from mileposts 128.1 to 125.0), 2, and 3 (from milepost 120.7 to 119.6); (c) combining (a) and (b) to result in four lanes from mileposts 128.1 to 119.6. The results of the analysis indicate that all three scenarios produce savings in travel time; energy; HC, CO, and CO2 emissions; and crash savings relative to the base do-nothing scenario. These benefits increase as the travel demand grows from the base year of 2004 to the horizon year of 2035. A benefit-cost analysis was conducted, and the results demonstrate that the most cost-effective upgrade is to add a third lane to section 2 (benefit-cost ratio of 5.35) followed by the addition of a single lane to sections 1 through 3 (benefit-cost ratio of 2.30). The addition of a fourth lane to section 2, together with an extra lane in sections 1 through 3, still offers advantages with a benefit-cost ratio of 1.60.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"119 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":"123036592","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: 2

Lane Detection System for Vehicle Platooning using Multi-information Map 基于多信息地图的车辆队列车道检测系统

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625215

T. Kasai, K. Onoguchi

{"title":"Lane Detection System for Vehicle Platooning using Multi-information Map","authors":"T. Kasai, K. Onoguchi","doi":"10.1109/ITSC.2010.5625215","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625215","url":null,"abstract":"This paper proposes a method of lane marker detection for platooning. In order to reduce air resistance, it is desirable to shorten the distance between two vehicles. If the vehicular gap is very short, conventional methods, which detect lane markers ahead in images captured from a front camera, are useless because lane markers are occluded by a vehicle in front. To solve this problem, the proposed method recognizes a lane markers in images captured from two downward side cameras equipped with the front side and the rear side of a vehicle. First, candidate points of lane markers are extracted in each image by edge pair detection. Then, straight lines representing lane marker are detected by applying Hough transform to these candidate points. A lateral position in a traffic lane is estimated from a position of a straight line in an image of each downward side camera. A yaw angle toward a traffic lane is calculated by using these lateral positions and the distance between two downward side cameras. Because a downward side camera can take only a narrow area directly under it, lane markers must be detected from short parts of them. Therefore, the proposed method uses a multi-information map containing lane marker information to detect lane markers. The proposed method has been implemented in the image processing hardware whose CPU satisfies on-vehicle specifications. Experimental results show the effectiveness of the proposed method and a lane detection device. In experiments conducted at the test course and the highway under construction, the vehicle ran at 80 km/h along the straight lane automatically.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"44 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":"123411633","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: 13

Estimation of lane data-based features by odometric vehicle data for driver state monitoring 基于里程计车辆数据的车道数据特征估计，用于驾驶员状态监测

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5624976

Fabian Friedrichs, Michael Miksch, Bin Yang

{"title":"Estimation of lane data-based features by odometric vehicle data for driver state monitoring","authors":"Fabian Friedrichs, Michael Miksch, Bin Yang","doi":"10.1109/ITSC.2010.5624976","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5624976","url":null,"abstract":"It is assumed that approximately one third of severe car accidents are related to drowsiness. Warning systems such as the Mercedes Benz Attention Assist try to tackle this problem by analyzing the driving style. Previous work investigated the estimation of measures (features) from lane data that correlate well with impaired driving. Unfortunately, these features require a lane-tracking camera, which is not available in many cars. Furthermore, the lane data signals are often affected from missing road markings, bad sight etc. Some lane-based features such as LANEDEV or ZIGZAGS do not require the absolute distance to the lane markings, but only depend on the lateral deviation within the lane. Our idea is to exploit odometric data (yaw rate and vehicle speed) to estimate this measure. The vehicle trajectory is a composition of the lurching between lane markings and the disturbing road curvature. Thus, we remove this curvature by a filter since its frequency is lower than the vehicle deviation. We compare the correlation between features based on lane data and odometric data as well as their relationship with sleepiness. An excerpt of the Attention Assist database with 294 drives and over 76 000 km is used. We show that some lane-based features can be approximated well. The zero-crossing rate (LATPOSZCR) performs even better than its lane-based pendant.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"107 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":"122029920","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

RSU-based real-time data access in dynamic vehicular networks 动态车辆网络中基于rsu的实时数据访问

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625189

Kai Liu, V. Lee

{"title":"RSU-based real-time data access in dynamic vehicular networks","authors":"Kai Liu, V. Lee","doi":"10.1109/ITSC.2010.5625189","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625189","url":null,"abstract":"Recently, data dissemination in vehicular networks has received considerable attention. In particular, there has been significant interest in accessing information stored at RSUs (Roadside Units). Although data access has been extensively studied in the network community, unique characteristics in vehicular networks bring us new challenges. First, the RSU provides both safety-critical and non-safety-critical services, which should be differentiated. Second, due to the limited communication range covered by RSUs, information must be provided in time to be accessed by passing vehicles. Last but not least, in a typical vehicular network, the traffic characteristics such as vehicle arrival rate, dwell time and data access pattern change from time to time, which require special efforts in information delivery to gain satisfactory performance. This paper first proposes a data dissemination framework supported by the RSU, in which an adaptable data dissemination method is presented. Next, we derive an analytical model to form the basis of performance evaluation. Last, we present a series of evaluation results to examine the system performance in dynamic traffic environments. The results not only demonstrate the effectiveness of the adaptable data dissemination mechanism, but also explore novel features of data dissemination in dynamic vehicular networks, which give insights into new research problems.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"136 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":"122749081","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: 57

An analysis of positioning and map-matching issues for GNSS-based road user charging 基于gnss的道路使用者收费定位与地图匹配问题分析

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625082

R. Toledo-Moreo, Benito Úbeda Miñaro, J. Santa, M. Zamora-Izquierdo, A. Gómez-Skarmeta

引用次数: 12

Estimation of road capacity and free flow speed for urban roads under adverse weather conditions 恶劣天气条件下城市道路通行能力和自由流速度的估算

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625152

J. Asamer, M. Reinthaler

引用次数: 22

System approach for multi-purpose representations of traffic scene elements 交通场景元素多用途表示的系统方法

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625234

Jens Schmüdderich, Nils Einecke, Stephan Hasler, A. Gepperth, B. Bolder, R. Kastner, M. Franzius, Sven Rebhan, Benjamin Dittes, H. Wersing, J. Eggert, J. Fritsch, C. Goerick

{"title":"System approach for multi-purpose representations of traffic scene elements","authors":"Jens Schmüdderich, Nils Einecke, Stephan Hasler, A. Gepperth, B. Bolder, R. Kastner, M. Franzius, Sven Rebhan, Benjamin Dittes, H. Wersing, J. Eggert, J. Fritsch, C. Goerick","doi":"10.1109/ITSC.2010.5625234","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625234","url":null,"abstract":"A major step towards intelligent vehicles lies in the acquisition of an environmental representation of sufficient generality to serve as the basis for a multitude of different assistance-relevant tasks. This acquisition process must reliably cope with the variety of environmental changes inherent to traffic environments. As a step towards this goal, we present our most recent integrated system performing object detection in challenging environments (e.g., inner-city or heavy rain). The system integrates unspecific and vehicle-specific methods for the detection of traffic scene elements, thus creating multiple object hypotheses. Each detection method is modulated by optimized models of typical scene context features which are used to enhance and suppress hypotheses. A multi-object tracking and fusion process is applied to make the produced hypotheses spatially and temporally coherent. In extensive evaluations we show that the presented system successfully analyzes scene elements under diverse conditions, including challenging weather and changing scenarios. We demonstrate that the used generic hypothesis representations allow successful application to a variety of tasks including object detection, movement estimation, and risk assessment by time-to-contact evaluation.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"1 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":"129705222","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

Local feedback-based mainstream traffic flow control on freeways using variable speed limits 基于局部反馈的高速公路变限速主流交通流控制

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625218

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

引用次数: 2

Assessment of traffic environment using fine-tuned dynamic vehicle emission models 基于微调动态车辆排放模型的交通环境评价

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625195

W. Lei, Xiaoliang Ma, Hui Chen

引用次数: 1

A Coordinated ramp metering algorithm for Minnesota's freeways based on density 基于密度的明尼苏达州高速公路协调匝道计量算法

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625243

N. Geroliminis, A. Srivastava, P. Michalopoulos

引用次数: 3