{"title":"Research on a new GPS/GIS based ERP system","authors":"Xu Aigong","doi":"10.1109/ITSC.2005.1520127","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520127","url":null,"abstract":"A new charging scheme is presented for the electronic road pricing (ERP) system, which would be based on distance traveled on different roads determined by integrated GPS positioning and digital road network database in GIS. System architecture consists of in-vehicle unit (IU) and the control center system (CCS) for the scheme is described. Technical considerations in the system, including road network map database design and development, integrated positioning algorithm, wireless communication between vehicles and the control center, as well as the charge calculation methods are elaborated on. Several test results demonstrated the effectiveness of the new method.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115134460","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":"Real-time estimation of turning movement proportions based on genetic algorithm","authors":"Pengpeng Jiao, Huapu Lu, Lang Yang","doi":"10.1109/ITSC.2005.1520096","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520096","url":null,"abstract":"Real-time turning movement proportions at intersections are important input data for adaptive traffic signal control system. To estimate them, a revised parameter optimization model with the objective function to minimize the sum of absolute deviations between measured and estimated traffic counts is proposed. A genetic algorithm is put forward to solve the problem according to its characteristics. The detailed encoding and decoding methods satisfying the inherent constraints of split parameters automatically are presented, and five other key issues are illustrated. Computational results are reported on a set of test problems using simulated as well as practical traffic data, and the capability to track dynamic turning movement proportions is compared with both least-square and Kaiman filtering methods. The results indicate that the proposed method is quite accurate, efficient and robust.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"39 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116710868","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":"The vanadium redox battery - an energy reservoir for stand-alone ITS applications along motor and expressways","authors":"M. Schreiber, A. Whitehead, M. Harrer, R. Moser","doi":"10.1109/ITSC.2005.1520176","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520176","url":null,"abstract":"This paper presents a new technology/system to supply stand-alone ITS applications along motor- and expressways with electrical energy. The constantly increasing requirement for general mobility, while at the same time ensuring personal safety, requires a broad-based information system, including also the entire network of traffic routes. Focusing on traffic routes, traffic management and information systems are under consideration all over Europe to offer information to the road user. In Austria the national motor- and expressway operator, ASFINAG, is currently implementing a new national-wide traffic management and information system for the motor- and expressway network. One main requirement of the peripheral components of this system (e.g. variable message signs) is a reliable power supply. Costly investments would be necessary to ensure a grid-bound provision of electricity for all components which are implemented on the entire high level road network, about 2,000 km. Therefore ASFINAG together with partners initiated the following R&D project to develop an alternative to grid-bound provision of electricity, state-of-the-art of diesel generators and lead-acid batteries which requires intensive maintenance.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121094888","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}
Yu Tianhong, Wang Rongben, Jin Lisheng, Chu Jiangwei, Guo Lie
{"title":"Lane mark segmentation method based on maximum entropy","authors":"Yu Tianhong, Wang Rongben, Jin Lisheng, Chu Jiangwei, Guo Lie","doi":"10.1109/ITSC.2005.1520137","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520137","url":null,"abstract":"In order to realize lane mark identifying and tracking on such conditions as uneven road surface materials and different illumination etc, this paper proposes a new method which combines an image segmentation technique based on maximum entropy with a bi-normalized adjustable template. First, applying image window variation technology, this method first realizes the better road image segmentation based on maximize one-dimension entropy. Second, lane mark parameters can be acquired based on the bi-normalized adjustable template. Finally lane mark real-time tracking is realized by applying trapezia AOI method.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"3283 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127493689","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":"Improved tabu search in an hybrid evolutionary approach for the pickup and delivery problem with time windows","authors":"","doi":"10.1109/ITSC.2005.1520130","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520130","url":null,"abstract":"In this paper we present an improved tabu search in an hybrid evolutionary approach for the single-vehicle pickup and delivery problem with time windows (1-PDPTW). In the 1-PDPTW a vehicle must serve a collection of transportation requests by taking loads from providers to customers satisfying precedence, capacity and time constraints. This paper purposes a brief review the scientific literature of the 1-PDPTW, presents the hybrid evolutionary approach to solve this problem and details the improved tabu search. Our hybrid evolutionary approach use evolutionary algorithm, with special genetic operators, tabu search, construction heuristics, Pareto dominance method to provide a set of satisfying and feasible solutions to the 1-PDPTW minimizing total traveled distance, total waiting time and total tardiness time.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123575972","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":"DisTrain: a simulation tool for train dispatching","authors":"P. Rebreyend","doi":"10.1109/ITSC.2005.1520152","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520152","url":null,"abstract":"This paper describes an on-going research work on the train dispatching problem. This dispatching or rescheduling problem (which is NP-complete in general cases) lacks a benchmark or a library to test different algorithms. Therefore, we present a modelisation of the problem, on which our future tool is based. The tool is decomposed into a simulation engine (event driven) which may use different algorithms to solve the problem. Different algorithms may be used and tried.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122850633","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}
B. Kerner, C. Demir, R. Herrtwich, S. Klenov, H. Rehborn, M. Aleksic, A. Haug
{"title":"Traffic state detection with floating car data in road networks","authors":"B. Kerner, C. Demir, R. Herrtwich, S. Klenov, H. Rehborn, M. Aleksic, A. Haug","doi":"10.1109/ITSC.2005.1520133","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520133","url":null,"abstract":"A method for a reporting behavior at optimal costs of single vehicles (FCD: floating car data) in road networks with the aim of a high quality of traffic state recognition is presented. It is shown that based on minimum two FCD messages the substantial information of a typical traffic incident in a traffic center can be recognized. The two relevant periods of such an obstruction of traffic in road networks are the periods, in which either a travel time increase takes place due to congestion emergence or a travel time decrease because of congestion dissolution. A statistic analysis already shows the high quality of the reconstruction of the actual travel times in the net with 1.5% equipped FCD vehicles and a reduction of the FCD message sending of the vehicles by suppression of redundant incident information. Incidents with at least 20 min duration can be recognized with a probability of 65% with an penetration rate of 1.5% FCD vehicles within the whole amount of vehicles, whereby the FCD vehicles send only in each incident case two messages per event.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117072622","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":"Contrast restoration of foggy images through use of an onboard camera","authors":"N. Hautière, Didier Aubert","doi":"10.1109/ITSC.2005.1520203","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520203","url":null,"abstract":"Perception sensors (cameras, laser, radar) are being introduced into certain vehicles. These sensors have been designed to operate within a wide range of situations and conditions (weather, luminosity, etc.) with a prescribed set of variation thresholds. Effectively detecting when a given operating threshold has been surpassed constitutes a key parameter in the creation of driving assistance systems that meet required reliability levels. With this context in mind, an atmospheric visibility measurement system may be capable of quantifying the most common operating range of onboard exteroceptive sensors. In particular, foggy images suffer from poor contrast. Furthermore, this decay varies across the scene and is exponential in the depths of scene points. In this paper, we present a physics based method to restore contrast of foggy images without any a priori weather-specific prediction. Our method only uses a simple black-and-white camera mounted onboard a moving vehicle. Furthermore, we are able to estimate the meteorological visibility distance, which characterizes the weather condition.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129505851","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":"Distributed large-scale network modeling with paramics implementation","authors":"H.X. Liu, Wenteng Ma, R. Jayakrishnan, W. Recker","doi":"10.1109/ITSC.2005.1520053","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520053","url":null,"abstract":"Distributed simulation modeling is in urgent need for two reasons: one is that the computational power demanded by the large-scale microscopic traffic simulation keeps increasing; the other is that independently and incrementally developed sub-networks of a large region need to be modeled simultaneously due to their interactions. In this paper, we propose a distributed modeling framework which including two categories of modeling strategies, namely, light global control/independent subnets vs. heavy global control/coordinated subnets. We have implemented the distributed scheme of light global control/independent subnets and the implemented details, such as communication techniques and vehicle transferring across the boundary of two subnets are discussed. Unlike the previous studies using the dedicated high performance machines, our efforts are to utilize the low-cost networked PCs that are commonly available. By using the application programming interface (API) functions supported by off-the-shelf paramics software, we are able to distribute the computational load of microscopic simulation to multiple single-processor PCs without access the proprietary source codes of the simulation program. Performance testing and analysis of the implemented prototype demonstrate that the proposed framework is very promising.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"293 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129560097","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}
D. Ponsa, Antonio López, F. Lumbreras, J. Serrat, Thorsten Graf
{"title":"3D vehicle sensor based on monocular vision","authors":"D. Ponsa, Antonio López, F. Lumbreras, J. Serrat, Thorsten Graf","doi":"10.1109/ITSC.2005.1520204","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520204","url":null,"abstract":"Determining the position of other vehicles on the road is a key information to help driver assistance systems to increase driver's safety. Accordingly, the work presented in this paper addresses the problem of detecting the vehicles in front of our own one and estimating their 3D position by using a single monochrome camera. Rather than using predefined high level image features as symmetry, shadow search, etc., our proposal for the vehicle detection is based on a learning process that determines, from a training set, which are the best features to distinguish vehicles from non-vehicles. To compute 3D information with a single camera a key point consists of knowing the position where the horizon projects onto the image. However, this position can change in every frame and is difficult to determine. In this paper we study the coupling between the perceived horizon and the actual width of vehicles in order to reduce the uncertainty in their estimated 3D position derived from an unknown horizon.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128401639","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}