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

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A non dynamic model for ITS assessment ITS评估的非动态模型
2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082813
M. Aron, R. Seidowsky, Simon Cohen
{"title":"A non dynamic model for ITS assessment","authors":"M. Aron, R. Seidowsky, Simon Cohen","doi":"10.1109/ITSC.2011.6082813","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082813","url":null,"abstract":"One of the elements of ITS assessment is the comparison of actual traffic conditions (after ITS has been installed) and traffic conditions which would have occurred, had no change happened. Apart from traffic simulation, which is the most appropriate tool to predict traffic conditions in the case of saturation by virtue of the dynamic (in time and space) equations included, a data driven traffic model is a credible alternative, particularly when congestion is not the core of the problem and when the closeness to initial data is important to compare indicators. Such a tool is outlined here, with its advantages and drawbacks. A very limited numerical application is given. Lines of future research to develop the model are proposed.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"103 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":"117311200","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: 0
Multi-target threat assessment for automotive applications 汽车应用的多目标威胁评估
2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082801
A. Eidehall
{"title":"Multi-target threat assessment for automotive applications","authors":"A. Eidehall","doi":"10.1109/ITSC.2011.6082801","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082801","url":null,"abstract":"Auto-brake systems have been on the market for a few years, but in order to continue improving their performance, multi-target threat assessment is a key component. The goal is to early be able to say that a collision can no longer be avoided by a steering maneuver, and thus braking can be started earlier. This is done by looking at all objects in the road scene, including other vehicles and barriers, and then looking for escape paths. The paper presents a computationally efficient way of determining whether an escape path can be found in a scenario with generally positioned objects, given the limited dynamics of the vehicle.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"1 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":"129757053","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: 27
Unsignalized intersections: Can ITS offer improved efficiency and safety? 无信号交叉口:ITS能提高效率和安全性吗?
2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6083152
Neil Zhang, Wei-bin Zhang, Jing-Quan Li, Kevin Zhang
{"title":"Unsignalized intersections: Can ITS offer improved efficiency and safety?","authors":"Neil Zhang, Wei-bin Zhang, Jing-Quan Li, Kevin Zhang","doi":"10.1109/ITSC.2011.6083152","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6083152","url":null,"abstract":"Majority of intersections in the United States are unsignalized. The total number of crashes at unsignalized intersections is higher than the number of crashes at signalized intersections. While stop signs have been a common safety treatment for unsignalized intersections, they also introduce additional travel delays, fuel consumption and emissions. In some cases, stop signs induce increased safety hazards. Until recently, unsignalized intersections and stop signs have mostly been seen as design problems using traditional traffic engineering approaches. This paper studies the characteristics of stop signs, their unintended impacts, and potential improvements by ITS technologies.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"43 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":"129858238","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: 4
Perfect homogeneous rail traffic: A quick efficient genetic algorithm for high frequency train timetabling 完美同质轨道交通:一种快速高效的高频列车调度遗传算法
2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082992
A. Abbas-Turki, E. Zaremba, O. Grunder, A. E. Moudni
{"title":"Perfect homogeneous rail traffic: A quick efficient genetic algorithm for high frequency train timetabling","authors":"A. Abbas-Turki, E. Zaremba, O. Grunder, A. E. Moudni","doi":"10.1109/ITSC.2011.6082992","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082992","url":null,"abstract":"This paper treats a particular train timetabling problem (TTP) in order to enable a high-frequency schedule of the future intercity network of London. The treated rail traffic is homogeneous because all trains have similar characteristics, as it is generally the case of the subway and intercity rail traffic. Overtaking opportunities between trains are studied; in order to evaluate whether overtaking contributes to improve the train's frequency. This study allows us to introduce a new class of train traffic that is called “perfect homogeneous”. Perfect homogeneous rail traffic can be considered as a one way train track. We define High Frequency Train Timetabling Problem (HF-TTP) without overtaking. The problem is formulated, using an analogy with the traveling salesman problem. A genetic algorithm to quickly define the sequence of trains for reducing the period is presented.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"161 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":"128278346","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: 5
An investigation into unified chassis control for agility, maneuverability and lateral stability 基于敏捷性、机动性和横向稳定性的底盘统一控制研究
2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082862
W. Cho, H. Heo, K. Yi
{"title":"An investigation into unified chassis control for agility, maneuverability and lateral stability","authors":"W. Cho, H. Heo, K. Yi","doi":"10.1109/ITSC.2011.6082862","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082862","url":null,"abstract":"This paper propose a unified chassis control (UCC) strategy to improve agility, maneuverability and, vehicle lateral stability by the integration of active front steering (AFS) and electronic stability control (ESC). The proposed UCC system consists of a supervisor, a control algorithm, and a coordinator. The supervisor determines a target yaw rate and a target velocity. To achieve a target yaw rate and velocity, the control algorithm determines a desired yaw moment and a desired longitudinal force, respectively. The desired yaw moment and the desired longitudinal force can be generated by the coordination of the AFS and ESC systems. To consider a performance limit of the ESC system and tires, the coordination is designed using the optimal method. Closed loop simulations with a driver-vehicle-controller system were conducted to investigate the performance of the proposed control strategy using CarSim vehicle dynamics software and the UCC controller coded using Maltab/Simulink.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"7 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":"130517484","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
Obstacle detection ”for free” in the c-velocity space 在c速度空间中“免费”进行障碍物检测
2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082872
S. Bouchafa, B. Zavidovique
{"title":"Obstacle detection ”for free” in the c-velocity space","authors":"S. Bouchafa, B. Zavidovique","doi":"10.1109/ITSC.2011.6082872","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082872","url":null,"abstract":"Obstacle detection is a key process of automatic driver assistance. The present paper focuses on ”vision”, and particularly on ”monocular” mobile vision, to reconstruct a rough Scene-Structure From Motion. Considering the 3D scene as a set of 3D planes, our c-velocity approach segments the optical flow field into plane pieces without any camera calibration or a priori knowledge about the egomotion. The technical tip is to exhibit iso-velocity curves in establishing relations between their properties and plane orientations. We show in this paper how obstacle detection becomes obvious, costless and robust with the method. Results confirm the expected robustness, not to forget that the method extends to other parameterized surfaces.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"2 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":"130563084","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: 7
Neural network based online traffic signal controller design with reinforcement training 基于神经网络的强化训练在线交通信号控制器设计
2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6083027
Yujie Dai, Jinzong Hu, Dongbin Zhao, F. Zhu
{"title":"Neural network based online traffic signal controller design with reinforcement training","authors":"Yujie Dai, Jinzong Hu, Dongbin Zhao, F. Zhu","doi":"10.1109/ITSC.2011.6083027","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6083027","url":null,"abstract":"Traffic congestion leads to problems like delays, decreasing flow rate, and higher fuel consumption. Consequently, keeping traffic moving as efficiently as possible is not only important to economy but also important to environment. Traffic system is a large complex nonlinear stochastic system. Traditional mathematical methods have some limitations when they are applied in traffic control. Thus, computational intelligence (CI) technologies gain more and more attentions. Neural Networks (NNs) is a well developed CI technology with lots of promising applications in traffic signal control (TSC). In this paper, a neural network (NN) based signal controller is designed to control the traffic lights in an urban traffic road network. Scenarios of simulation are conducted under a microscopic traffic simulation software. Several criterions are collected. Results demonstrate that through online reinforcement training the controllers obtain better control effects than the widely used pre-time and actuated methods under various traffic conditions.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"21 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":"114198617","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: 27
Reinforcement learning with average cost for adaptive control of traffic lights at intersections 基于平均代价的交叉口交通灯自适应控制的强化学习
2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082823
A. PrashanthL., S. Bhatnagar
{"title":"Reinforcement learning with average cost for adaptive control of traffic lights at intersections","authors":"A. PrashanthL., S. Bhatnagar","doi":"10.1109/ITSC.2011.6082823","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082823","url":null,"abstract":"We propose for the first time two reinforcement learning algorithms with function approximation for average cost adaptive control of traffic lights. One of these algorithms is a version of Q-learning with function approximation while the other is a policy gradient actor-critic algorithm that incorporates multi-timescale stochastic approximation. We show performance comparisons on various network settings of these algorithms with a range of fixed timing algorithms, as well as a Q-learning algorithm with full state representation that we also implement. We observe that whereas (as expected) on a two-junction corridor, the full state representation algorithm shows the best results, this algorithm is not implementable on larger road networks. The algorithm PG-AC-TLC that we propose is seen to show the best overall performance.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"39 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":"124364935","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: 64
An approach for real-time stress-trend detection using physiological signals in wearable computing systems for automotive drivers 汽车驾驶员可穿戴计算系统中基于生理信号的实时应力趋势检测方法
2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082900
R. Singh, Sailesh Conjeti, R. Banerjee
{"title":"An approach for real-time stress-trend detection using physiological signals in wearable computing systems for automotive drivers","authors":"R. Singh, Sailesh Conjeti, R. Banerjee","doi":"10.1109/ITSC.2011.6082900","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082900","url":null,"abstract":"Fast and credible identification and estimation of driver's stress-level and stress-type from sensed physiological signals has been one of the critical research areas in the recent past. Several good metrics and mechanisms involving bioelectric signals like the Galvanic Skin Response (GSR), Electrocardiogram (ECG) and the Photoplethysmography (PPG) have been identified by the scholars over the years. This paper discusses the features extracted from physiological data collected in five different scenarios and their usefulness with the help of statistical trend analysis methods. The algorithm developed comprises of a novel shape-based feature weight allocation approach and a technique for credible online realtime stress-trend detection. Such a stress-trend detection by the mesh of embedded sensory elements residing in the e-fabric of a wearable computing system will help in reducing chances of fatal driving errors by the way of in-time activation of alerts and actuation of corresponding safety / recovery procedures.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"1 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":"128133306","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
The H2-optimal preview controller for a shared lateral control h2 -最优预览控制器共享横向控制
2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6083151
C. Sentouh, B. Soualmi, J. Popieul, S. Debernard
{"title":"The H2-optimal preview controller for a shared lateral control","authors":"C. Sentouh, B. Soualmi, J. Popieul, S. Debernard","doi":"10.1109/ITSC.2011.6083151","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6083151","url":null,"abstract":"This paper proposes a concept of human-centered lane keeping assistance system using the H2-optimal preview controller. In order to successfully share lateral control of the vehicle between human driver and controller, a dynamic pre-compensation control unit (forcing control) with reference model is added to the resulting controller which combines state feedback control and feedforward control. The driver steering torque is used as input of the reference model and is estimated using a robust Proportional Integral observer with unknown input. A more precise estimation of vehicle states and driver torque provides an accurate values for computing the optimal preview steering controller from the driver-vehicle system. Simulation results are presented here to demonstrate the effectiveness of the proposed structure to ensure a shared lateral control between human driver and assistance.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"12 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":"134265470","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: 12
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