2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)最新文献_第6页

Highly automated driving on highways: System implementation on PC and automotive ECUs 高速公路上的高度自动驾驶:PC和汽车ecu上的系统实现

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6083143

B. Vanholme, B. Lusetti, D. Gruyer, S. Glaser, S. Mammar

引用次数: 4

Modelling cooperative driving in congestion shockwaves on a freeway network 高速公路网络拥堵冲击波下的协同驾驶建模

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082837

S. Calvert, T. V. D. Broek, M. Noort

{"title":"Modelling cooperative driving in congestion shockwaves on a freeway network","authors":"S. Calvert, T. V. D. Broek, M. Noort","doi":"10.1109/ITSC.2011.6082837","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082837","url":null,"abstract":"The development of advanced driver assistance technology continues to proceed rapidly. Cooperative systems based on wireless communication are a specific form of advanced driver assistance that is currently evolving rapidly. A drawback in the development of such systems is that options for large scale field-testing and — development of these automated systems are limited. Traffic simulation however offers widespread options for testing. In this paper the effects of cooperative driving using cooperative adaptive cruise control (CACC) to influence congestion shockwaves are evaluated on a part of the Amsterdam freeway network. The effects of congestion shockwaves on a network scale can be different to uniform freeway sections due to interaction between varying traffic flows. The application of CACC to mitigate the negative effects of shockwaves on a network level are simulated and analysed in this research for varying levels of CACC penetration. The results are analysed on both a quantitative as well as qualitative level and give a deeper understanding into the possibilities of the mass application of CACC systems.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"48 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":"128139476","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: 36

Integrated GNSS/INU, vehicle dynamics, and microscopic traffic flow simulator for automotive safety 集成GNSS/INU，车辆动力学和微观交通流模拟器，用于汽车安全

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082995

G. Dedes, D. Grejner-Brzezinska, D. Guenther, G. Heydinger, K. Mouskos, B. Park, C. Toth

{"title":"Integrated GNSS/INU, vehicle dynamics, and microscopic traffic flow simulator for automotive safety","authors":"G. Dedes, D. Grejner-Brzezinska, D. Guenther, G. Heydinger, K. Mouskos, B. Park, C. Toth","doi":"10.1109/ITSC.2011.6082995","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082995","url":null,"abstract":"This paper presents the development of a comprehensive integrated GNSS/INU simulator consisting of a microscopic traffic simulator based on VISSIM, a vehicle dynamics simulator based on CarSim, and a GNSS/INU simulator. The resulting GNSS/INU simulator provides an integrated design, test and evaluation platform for exploring new ideas, developing advanced concept designs and investigating the impact of existing and emerging Global Navigation Systems (GNSS) and Inertial Navigation Unit (INU) technologies on automotive safety at the vehicle and network levels. For the simulation of hazardous conditions VISSIM generates safety warning events based on surrogate safety indicators. The warning events are intercepted at the vehicle dynamics simulator CarSim which generates simulated `ground truth' trajectories based on VISSIM's generated control parameters. GNSS/INU errors are generated by a GNSS/INU simulator and added to the CarSim `ground truth' trajectories. The simulated GNSS/INU vehicle trajectories and the `ground truth' CarSim trajectories are processed through a “Driver-Vehicle Response” module for the estimation of individual vehicle crashes. These crashes are employed to train a Neural Network (NN) as a non-parametric network crash estimator. The trained NN and V2V/V2I simulators are employed to estimate the reduction of network crashes resulting from the use of GNSS/IMU sensors in the vehicles.","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":"132841324","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: 15

A mobile sensing architecture for massive urban scanning 面向大规模城市扫描的移动传感体系结构

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082958

João G. P. Rodrigues, Ana Aguiar, F. Vieira, J. Barros, J. P. S. Cunha

引用次数: 28

Fixed point methods for computing within-day dynamic user equilibrium 计算日动态用户平衡的定点方法

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082914

T. Friesz, Pedro A. Neto, Amir H. Meimand

引用次数: 0

Variable time discretization for a time-dependent shortest path algorithm 时变最短路径算法的变时间离散化

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082871

Ye Tian, Y. Chiu, Yang Gao

引用次数: 1

Evaluating active traffic and demand management strategies for congested tourism traffic corridor 拥挤旅游交通走廊的主动交通与需求管理策略评价

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082860

Hong Zheng, E. Nava, Y. Chiu

引用次数: 4

Surround view pedestrian detection using heterogeneous classifier cascades 使用异构分类器级联的环视行人检测

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082895

Markus Gressmann, G. Palm, O. Löhlein

{"title":"Surround view pedestrian detection using heterogeneous classifier cascades","authors":"Markus Gressmann, G. Palm, O. Löhlein","doi":"10.1109/ITSC.2011.6082895","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082895","url":null,"abstract":"Pedestrian detection is of particular interest to the automotive domain, where an accurate estimation of a pedestrian's position is the first step towards reliable collision avoidance systems. Driven by rapid advances in technology, several systems to detect pedestrians in front of a moving vehicle have been proposed in recent years. This paper introduces a novel pedestrian detection system for low-speed driving scenarios, capable of detecting pedestrians in a 360-degree fashion around the vehicle. Detected pedestrians are displayed to the driver in an intuitive way using a dynamically generated Birds's Eye View image. Furthermore, a novel classifier architecture to efficiently handle this complex application scenario is provided. By combining the processing speed of a classifier cascade with the discriminative power of a multi-stage neural network, the system achieves state of the art performance while retaining real-time capability. To keep classifier complexity low, a new feature-based inter-stage information transfer method is presented. All classifier components are compared to recent pedestrian detection approaches and evaluated on a real-world data set.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"15 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":"114286613","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: 33

Arterial travel time estimation based on vehicle re-identification using magnetic sensors: Performance analysis 基于磁传感器车辆再识别的动脉行程时间估计:性能分析

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6083003

R. Sanchez, Christopher Flores, R. Horowitz, R. Rajagopal, P. Varaiya

{"title":"Arterial travel time estimation based on vehicle re-identification using magnetic sensors: Performance analysis","authors":"R. Sanchez, Christopher Flores, R. Horowitz, R. Rajagopal, P. Varaiya","doi":"10.1109/ITSC.2011.6083003","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6083003","url":null,"abstract":"Two versions of an arterial travel time estimation method based on vehicle re-identification using wireless magnetic sensors were studied across an arterial segment with multiple intersections. Both methods are based on the same travel time estimation system, but one of them uses the so called original signal processing algorithm while the other one uses a recently modified version of it. Both methods were tested on a 0.51 km (0.32 mile)-long segment of West 34th Street in New York, NY, under harsh driving conditions (i.e. right after a winter storm). The original and modified system results were compared against ground truth data obtained from video. Based on the ground truth data it was possible to determine the travel time distribution and the percentage of vehicles that each of the different methods was able to re-identify. During an analysis period of 45 minutes, 318 vehicles were registered to go across the arterial segment. The original method has a 62% re-identification rate, while the modified method has a 69% rate. Based on comparisons of travel time distribution and empirical cumulative distribution functions, it was observed that the modified method travel time distribution is closely related to the ground truth distribution, while the original method significantly diverges from the ground truth at long travel times.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"53 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":"114322333","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

Transport psychology based cognitive architecture for traffic behavior prediction 基于交通心理学的交通行为预测认知架构

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082797

K. Varadarajan, Kai Zhou, M. Vincze

{"title":"Transport psychology based cognitive architecture for traffic behavior prediction","authors":"K. Varadarajan, Kai Zhou, M. Vincze","doi":"10.1109/ITSC.2011.6082797","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082797","url":null,"abstract":"Prediction of extemporaneous events in traffic surveillance is crucial in the prevention or alleviation of the gravity of accidents. Modeling of normal/ abnormal behavior and mental state inference of drivers help in the prediction of such events. Traffic psychology lends itself to the development of such models. Analysis of driver state, emotion and behavior are important components of traffic psychology. However, most models based on traffic psychology are rather abstract and lack neurobiological grounding. They are also disparate from computational models of traffic monitoring. In this paper, we extend and develop neurobiologically grounded computational models for driver state and behavior inference by mimicking the mirror neuronal architecture. The developed system uses a combination of modular cognitive neurobiological architecture combined with traditional computer vision techniques for traffic monitoring resulting in prediction and detection of extemporaneous events. Psychophysical as well as neurobiological criteria are used for evaluation on both simulated and real data. The model is shown to be robust to perturbations, with rapid convergence (less than 0.2 normalized time units) in most cases.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"10 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":"114802893","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