{"title":"Integration of emission and fuel consumption computing with traffic simulation using a distributed framework","authors":"Zhenxu Huang, Xiaoliang Ma","doi":"10.1109/ITSC.2009.5309536","DOIUrl":"https://doi.org/10.1109/ITSC.2009.5309536","url":null,"abstract":"Air quality and fuel efficiency has become important factors in decision-makings on urban traffic planning and management. To support the process, simulation models have potential to play essential roles in evaluation of planning alternatives and control strategies. However, traffic and its environmental impacts are different processes and often require various levels of models. With concerns on high computing performance and rich functionalities, it may be not appropriate to model emission inventory within traffic simulation. In this paper, we present a distributed simulation approach, and an independent emission/energy computing platform is built to simulate, visualize and analyze online emission outputs, given a microscopic traffic simulation tool, KTH-TPMA. Two distributed computing frameworks, common objects request broker architecture (CORBA) and service oriented architecture (SOA), are adopted in the distributed software design and implementation. Several emission models are implemented and generally evaluated in micro simulation runs of two road networks.","PeriodicalId":268587,"journal":{"name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","volume":"207 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124663245","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}
M. C. Figueiredo, R. Rossetti, Rodrigo A. M. Braga, Luis Paulo Reis
{"title":"An approach to simulate autonomous vehicles in urban traffic scenarios","authors":"M. C. Figueiredo, R. Rossetti, Rodrigo A. M. Braga, Luis Paulo Reis","doi":"10.1109/ITSC.2009.5309524","DOIUrl":"https://doi.org/10.1109/ITSC.2009.5309524","url":null,"abstract":"The most common cause of traffic accidents is arguably the driver error due to lack of attention. And it is very unlikely this is going to change soon thanks to increasingly cell-phone usage, in-car entertainment systems, and naturally the more frequent traffic jams in highly populated areas. Autonomous vehicles, such as driverless cars, are a promising approach to decrease traffic accidents, as well as congestions. To test this approach, simulations are a safer, more efficient, and cheaper way than live testing. This paper presents an approach to implement a simulator to test such vehicles. It includes a study of the state of the art in driverless car simulation and discusses on the specific objectives that this particular simulator aims to achieve in order to aid testing the interactions of multiple driverless cars in urban networks.","PeriodicalId":268587,"journal":{"name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131005567","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}
{"title":"A research on risk assessment and warning strategy for intersection collision avoidance system","authors":"Tong Zhu, Jian Xu, Yu Bai, Xiaoguang Yang","doi":"10.1109/ITSC.2009.5309864","DOIUrl":"https://doi.org/10.1109/ITSC.2009.5309864","url":null,"abstract":"This paper proposed a new risk assessment approach based on probability theory and presented corresponding warning strategy for intersection collision avoidance system. Simulation evaluation method was also addressed and evaluation criterions were improved. After an introduction of background and related works of risk assessment for intersection collision avoidance system, a probability model was established to assess crossing path collision risk. Then the warning strategy was made in two traffic scenarios separately. Warning would be issued if risk value beyond risk threshold. A traffic simulation platform was also developed with VISSIM to evaluate collision avoidance performance. The evaluation criterion included not only missed and nuisance warning ratio corresponding to various arrival time difference, but also the required deceleration after warning.","PeriodicalId":268587,"journal":{"name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129674699","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}
{"title":"An external logic processor for NTCIP-based traffic controllers: Proof of concept for data exchange capability","authors":"S. Ahmed, A. Abdel-Rahim, M. Dixon","doi":"10.1109/ITSC.2009.5309693","DOIUrl":"https://doi.org/10.1109/ITSC.2009.5309693","url":null,"abstract":"This paper presents a microprocessor-based device, external to a traffic controller, to communicate with the traffic controller through the Ethernet port using the NTCIP 1202 communication protocol. With such data exchange capabilities, it provides opportunities for real-time feedback control at the local intersection level. The paper presents the results of five tests to verify and validate the data exchange capabilities of the microprocessor-based device. The test results show that the microprocessor successfully used NTCIP data objects to read the controller's detector status, phase status, and coordination parameters. The recommended hardware arrangement has clear potential to detect different traffic conditions such as cycle failure or queue spillback. In addition, the microprocessor detects phase states and phase sequences with sufficient accuracy to support assessing traffic conditions and determining efficient control strategies. Finally, the writing tests show that the microprocessor-based device can write to different controller parameters in an accurate and timely fashion, which is important for implementing real-time feedback control strategies.","PeriodicalId":268587,"journal":{"name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128854837","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}
Basel H. Kilani, Ekasit Vorakitolan, J. Havlicek, M. Tull, A. R. Stevenson
{"title":"Distributed ITS control and the Oklahoma virtual TMC","authors":"Basel H. Kilani, Ekasit Vorakitolan, J. Havlicek, M. Tull, A. R. Stevenson","doi":"10.1109/ITSC.2009.5309521","DOIUrl":"https://doi.org/10.1109/ITSC.2009.5309521","url":null,"abstract":"Practically all major metropolitan and large scale modern intelligent transportation systems have a centralized traffic management center (TMC) at their logical and functional core. The TMC provides control, coordinates system wide communications, and typically serves as a common hub from which multiple agencies plan and execute coordinated incident responses. Early in the development of the Oklahoma statewide ITS, it became clear that the costs associated with building and operating a large, centralized TMC would be prohibitive. An alternative design strategy emerged built around a distributed peer-to-peer network of low-cost ITS consoles based on desktop PC's equipped with innovative software and special hardware to support efficiently handling multiple video streams simultaneously. This has led to a geographically distributed, fault-tolerant communications and control system where the desirable functionality of a large centralized TMC is realized by a virtual TMC that enables the stakeholder agencies to remain physical located in their current facilities around the State. In this paper, we provide an overview of the system architecture as it has evolved through the first quarter of 2009 and highlight some of the recently developed system enhancements.","PeriodicalId":268587,"journal":{"name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","volume":"57 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122055352","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}
{"title":"Driver's cognitive distraction detection using physiological features by the adaboost","authors":"M. Miyaji, H. Kawanaka, K. Oguri","doi":"10.1109/ITSC.2009.5309881","DOIUrl":"https://doi.org/10.1109/ITSC.2009.5309881","url":null,"abstract":"Effects of driver's states adaptive driving support systems is highly expected for the prevention of traffic accidents. In order to create this constituent technology, detecting driver's psychosomatic states which occurs just before a traffic accident is essential. Therefore driver's distraction is thought as one of important factors. This study focused on detecting driver's cognitive distraction, a state which can easily lead to a traffic accident. We reproduced the cognitive distraction by imposing conversation or arithmetic loads to the subjects on a driving simulator. A stereo camera system were used as the means to track a subject's eyes, and head movements, which were set as classification features for pattern recognition on the Support Vector Machine (hereafter, SVM) basis used in the previous study of the AIDE project, a part of EU 6th Framework Programme. Diameter of pupil as well as the interval between heart R-waves (hereafter, heart rate RRI) from an ECG (electrocardiogram) were added for classification features to further improve the accuracy of driver's cognitive distraction detection. Based on this study, we established the methodology for more precise and faster driver's cognitive detection by using the AdaBoost.","PeriodicalId":268587,"journal":{"name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125271413","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}
{"title":"Video-based recognition of unmarked lanes via texture interpretation and N-level-set-fitting","authors":"A. Schindler, Verena Lauren","doi":"10.1109/ITSC.2009.5309866","DOIUrl":"https://doi.org/10.1109/ITSC.2009.5309866","url":null,"abstract":"In modern driver assistance systems the environment perception plays a decisive role in order to evaluate the current traffic scene. The reliable recognition of the drivable area provides essential information for lane departure warning systems which in turn contribute to active road safety. Most systems on lane recognition do reliable work on well marked roads and under good weather and lighting conditions but they fail in more difficult scenarios especially in the absence of lane markings. In this paper we present a two-stage algorithm for the recognition of unmarked lanes using only a single monochrome camera. In the first step our approach transforms texture differences into gray value information in order to intensify the separation of on-road and off-road parts. Then a N-level-set-fitting is applied on this new image which uses a clothoid road model as underlying set model. Minimizing the error function yields to the parameter estimation of the road model. The method is independent of the availability of lane markings or any other landmarks. The parameter propagation to the next frame is done via a standard kalman filter. The given results show the performance of our approach in robust lane recognition under various weather and lighting conditions.","PeriodicalId":268587,"journal":{"name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124465903","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}
{"title":"Advanced motorcycle-infrastructure-driver roll angle profile for loss control prevention","authors":"H. Slimi, Hichem Arioui, L. Nouvelière, S. Mammar","doi":"10.1109/ITSC.2009.5309702","DOIUrl":"https://doi.org/10.1109/ITSC.2009.5309702","url":null,"abstract":"In this paper, we present a new method for the calculation of the maximum roll angle of a motorcycle authorized during driving in curve situation. The proposed approach takes into account the three elements of the driving situation which are the vehicle the driver and the infrastructure. The vehicle dynamics are represented by a dynamic four degrees of freedom model which include longitudinal and lateral dynamics of the motorcycle. The driver behaviour considers his ability in deceleration taking into account his mobilized friction while the infrastructure characteristics introduce a precise definition of the road geometry and the maximal available friction.","PeriodicalId":268587,"journal":{"name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129331190","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}
Yangbeibei Ji, Xiaoning Zhang, W. Daamen, Lijun Sun
{"title":"Traffic incident recovery time prediction model based on cell transmission model","authors":"Yangbeibei Ji, Xiaoning Zhang, W. Daamen, Lijun Sun","doi":"10.1109/ITSC.2009.5309829","DOIUrl":"https://doi.org/10.1109/ITSC.2009.5309829","url":null,"abstract":"Effective incident management and traffic control measurements require a full understanding of the characteristics of incidents to accurately estimate incident durations and to help make more efficient decisions to reduce the impacts of non recurring congestion due to these accidents. The Incident duration includes four parts: detection time, response time, clearance time and recovery time. Many of the research did not take the recovery time into consideration. However, recovery time can not be neglected because it often accounts for larger proportion of the duration time especially in the city freeways. This paper develops a recovery model based on CTM, which has analytical simplicity and the ability to reproduce the traffic behavioral. By comparing with the real data which is collected from elevated freeways in Shanghai city, the simulation results show that this recovery time prediction model based on CTM has a higher accuracy.","PeriodicalId":268587,"journal":{"name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132158831","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}
{"title":"Kalman filter process models for urban vehicle tracking","authors":"C. Aydos, B. Hengst, Will Uther","doi":"10.1109/ITSC.2009.5309752","DOIUrl":"https://doi.org/10.1109/ITSC.2009.5309752","url":null,"abstract":"Faced with increasing congestion on urban roads, authorities need better real-time traffic information to manage traffic. Kalman Filters are efficient algorithms that can be adapted to track vehicles in urban traffic given noisy sensor data. A Kalman Filter process model that approximates dynamic vehicle behaviour is a reusable subsystem for modelling the dynamics of a multi-vehicle traffic system. The challenge is choosing an appropriate process model that produces the smallest estimation errors. This paper provides a comparative analysis and evaluation of Linear and Unscented Kalman Filters process models for urban traffic applications.","PeriodicalId":268587,"journal":{"name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","volume":"122 21","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131943553","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}