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Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)最新文献

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A reinforcement learning algorithm for optimal motion of car-like vehicles 汽车类车辆最优运动的强化学习算法
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1398870
T. Martínez-Marín
{"title":"A reinforcement learning algorithm for optimal motion of car-like vehicles","authors":"T. Martínez-Marín","doi":"10.1109/ITSC.2004.1398870","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398870","url":null,"abstract":"We propose a new reinforcement learning algorithm to obtain the optimal motion of a vehicle considering kinematic and obstacle constraints. The algorithm is an extension of the CACM technique for learning the dynamic behaviour of the vehicle instead of using its analytical state equations. The method overcomes some limitations of reinforcement learning techniques when they are employed in applications with continuous non-linear systems, such as car-like vehicles. In particular, a good approximation to the optimal behaviour is obtained by a lookup table without of using function approximation. Simulation results of learning optimal motion in the presence of obstacles are reported to show the satisfactory performance of the method compared with the popular Q-learning algorithm.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122286440","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
The bi-level programming of airport time slot allocation at a peak hour 机场高峰时段时段分配的双层规划
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1398967
Suiling Li
{"title":"The bi-level programming of airport time slot allocation at a peak hour","authors":"Suiling Li","doi":"10.1109/ITSC.2004.1398967","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398967","url":null,"abstract":"The allocation of airport time slot not only impacts the airlines' service level to passengers, but also influences airlines' profits of market share. Therefore, this study attempts to present the optimal allocation aspects of airport time slot for the passengers and airlines and considers the constraints of airport capacity at peak hours. This study proposes the optimal time allocation model by the bi-level programming to analyze the airport time slot issues. One outcome shows that if passenger is the leader and airline the follower, then the time slot of offshore island routes should be more than other routes. The other outcome shows that if the airline is a leader and passenger the follower, then the time slot is prior to main-island route of longer distance. Both outcomes demonstrate that aviation is suitable to offshore island and long distance transportation.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116432831","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
Design and integration of the sensing and control subsystems of CajunBot CajunBot传感与控制子系统的设计与集成
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1398869
C. Cavanaugh
{"title":"Design and integration of the sensing and control subsystems of CajunBot","authors":"C. Cavanaugh","doi":"10.1109/ITSC.2004.1398869","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398869","url":null,"abstract":"This paper covers the design and integration of the sensing and control subsystems of the CajunBot autonomous ground vehicle, which competed and qualified in the 2004 DARPA Grand Challenge. The event took place 8-13 March 2004 near Los Angeles, CA, USA, and closed near Las Vegas, NV, USA. The challenge was to create a vehicle that would travel without intervention approximately 150 mi through desert terrain using a set of waypoints while avoiding obstacles, both natural and man-made, in under ten hours for a prize of US /spl epsi/. In order to make the route more challenging, the exact route was only provided the morning of the race, two hours from start time. The starting line, in Barstow, CA, USA, consisted of six chutes separated by concrete barriers from which a total of fifteen autonomous ground vehicles, or bots, were launched.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125456039","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
Trajectory reconstruction by integration of GPS and a swarm of MEMS accelerometers: model and analysis of observability GPS与一群MEMS加速度计集成的轨迹重建:模型与可观测性分析
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1398873
C. Spagnol, R. Muradore, M. Assom, A. Beghi, R. Frezza
{"title":"Trajectory reconstruction by integration of GPS and a swarm of MEMS accelerometers: model and analysis of observability","authors":"C. Spagnol, R. Muradore, M. Assom, A. Beghi, R. Frezza","doi":"10.1109/ITSC.2004.1398873","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398873","url":null,"abstract":"We consider the problem of trajectory reconstruction for the mobile mapping system Davide. Davide is equipped with a custom GPS/INS system and a number of dead-reckoning sensors, such as odometers, inclinometers, etc. We investigate the possibility of substituting the INS with a swarm of low cost MEMS accelerometers located in various positions on board the vehicle. An observability analysis shows the feasibility of the solution and the need of integrating the distributed MEMS sensing architecture with a positioning sensor such as the GPS.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127606802","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
Using probe data to estimate OD matrices 利用探针数据估计OD矩阵
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1398913
S. Eisenman, G. List
{"title":"Using probe data to estimate OD matrices","authors":"S. Eisenman, G. List","doi":"10.1109/ITSC.2004.1398913","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398913","url":null,"abstract":"Probes provide an entirely new kind of data source for estimating OD matrices. Indeed, if probes were the Universe of vehicles, then the OD matrix would be known with certainty, failing limitations of the way the probes are sensed and variations from day to day. Consequently, the question is: what tradeoffs exist between probe density and the quality of the estimated matrix? In addition, do different methodologies produce matrices of different quality and how does the availability of other data, like link volume counts, influence the quality of the matrix produced? Moreover, what type of estimation methodology works best? These questions are addressed in this paper, through a literature review, a discussion of the issues involved, and an example problem. One conclusion reached by the authors is that it is possible under certain conditions to obtain a mean absolute percent deviation of 9% for the OD flows if the percentage of probe trips is 10%.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128756500","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: 43
3D lane detection system based on stereovision 基于立体视觉的三维车道检测系统
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1398890
S. Nedevschi, R. Schmidt, T. Graf, R. Danescu, D. Frentiu, T. Mariţa, F. Oniga, Ciprian Poco
{"title":"3D lane detection system based on stereovision","authors":"S. Nedevschi, R. Schmidt, T. Graf, R. Danescu, D. Frentiu, T. Mariţa, F. Oniga, Ciprian Poco","doi":"10.1109/ITSC.2004.1398890","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398890","url":null,"abstract":"This work presents a 3D lane detection method based on stereovision. The stereovision algorithm allows the elimination of the common assumptions: flat road, constant pitch angle or absence of roll angle. Moreover, the availability of 3D information allows the separation between the road and the obstacle features. The lane is modeled as a 3D surface, defined by the vertical and horizontal clothoid curves, the lane width and the roll angle. The lane detection is integrated into a tracking process. The current lane parameters are predicted using the past parameters and the vehicle dynamics, and this prediction provides search regions for the current detection. The detection starts with estimation of the vertical profile, using the stereo-provided 3D information, and afterwards the horizontal profile is detected using a model-matching technique in the image space, using the knowledge of the already detected vertical profile. The roll angle is detected last, by estimating the difference of the average heights of the left and right lane borders. The detection results are used to update the lane state through Kalman filtering.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114926781","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: 183
Vision modules for a multi-sensory bridge monitoring approach 一种多感官桥梁监测方法的视觉模块
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1399038
R. Chang, T. Gandhi, M. Trivedi
{"title":"Vision modules for a multi-sensory bridge monitoring approach","authors":"R. Chang, T. Gandhi, M. Trivedi","doi":"10.1109/ITSC.2004.1399038","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1399038","url":null,"abstract":"This work presents the use of multiple sensor modalities in order to perform traffic analysis for health monitoring of transportation infrastructure. In particular, testbeds containing video and seismic sensors giving complementary information about vehicles are described. Computer vision algorithms are used to detect and track the vehicles and extract their properties. This information is combined with the data from seismic sensors for robust classification of vehicles. Experimental results obtained with our testbeds are described.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130658336","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: 66
Blacksburg instrumented city traffic signal data acquisition system 布莱克斯堡仪表城市交通信号数据采集系统
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1398884
H. Rakha, A. Sidky
{"title":"Blacksburg instrumented city traffic signal data acquisition system","authors":"H. Rakha, A. Sidky","doi":"10.1109/ITSC.2004.1398884","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398884","url":null,"abstract":"This paper describes one of the major components of the Blacksburg prototype instrumented city, namely the traffic signal data acquisition system (TSDAS). The TSDAS gathers traffic signal, traffic volume, and measure of effectiveness data from over 20 signalized intersections within the Blacksburg area. The TSDAS is designed in a modular fashion in order to facilitate system expansion. The TSDAS provides a unique real-life environment for testing alternative advanced traffic management system (ATMS) applications including adaptive traffic signal control and transit priority strategies.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116629900","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
Time-to-line crossing and vehicle dynamics for lane departure avoidance 车道偏离避免的时间-线交叉和车辆动力学
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1398972
S. Mammar, S. Glaser, M. Netto, J. Blosseville
{"title":"Time-to-line crossing and vehicle dynamics for lane departure avoidance","authors":"S. Mammar, S. Glaser, M. Netto, J. Blosseville","doi":"10.1109/ITSC.2004.1398972","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398972","url":null,"abstract":"This paper analyses time-to-line crossing sensitivity with respect to the vehicle parameters. Both straight and curved vehicle paths are considered. An evaluation over a digitalized test track is performed. An observer for the road curvature estimation is also proposed. In this paper TLC computation is presented on the basis of geometric kinematic formula and dynamic trajectory prediction.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131737617","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: 23
Monitoring mouth movement for driver fatigue or distraction with one camera 用一个摄像头监测驾驶员疲劳或分心时的嘴部运动
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1398917
Wang Rongben, Guo Lie, Tong Bingliang, Jin Lisheng
{"title":"Monitoring mouth movement for driver fatigue or distraction with one camera","authors":"Wang Rongben, Guo Lie, Tong Bingliang, Jin Lisheng","doi":"10.1109/ITSC.2004.1398917","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398917","url":null,"abstract":"This paper proposed to locate and track a driver's mouth movement using a dashboard-mounted CCD camera. Study on monitoring and recognizing a driver's yawning fatigue state and distraction state due to talking or conversation. Firstly determining the interest of area for mouth by detecting face using color analysis, then segmenting skin and lip pixels by fisher classifier, and detecting driver's mouth and extracting lip features by connected component analysis, tracking driver's mouth via Kalman filtering in real time. Taking the mouth region's geometric features to make up an eigenvector as the input of a BP ANN, then we acquire the BP ANN output of three different mouth states that represent normal, yawning or talking state respectively. The experiment results show that this new method can inspect the driver's mouth region accurately and quickly, and gives a warning sign when it find driver's yawning fatigue state and distraction state due to talking or conversation.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133131582","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: 136
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