{"title":"Robust vehicular steering control system with lateral disturbance compensation","authors":"Seung-Hi Lee, C. Chung","doi":"10.1109/ITSC.2013.6728259","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728259","url":null,"abstract":"A robust vehicular steering control scheme is presented in which lateral disturbance causing dangerous yaw motion is compensated for by additional steering torque input from a state space disturbance observer. The robust vehicular steering control system requires no complex modeling of either lateral disturbance or its impact on vehicle motion. Its action makes the driver comfortable by compensating for lateral disturbance by some appropriate additional steering torque not steering angle. Application results also demonstrate utility of the robust steering control system in avoiding dangerous yaw motions of vehicle.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117120722","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}
Diana L. Delibaltov, Wencheng Wu, R. Loce, Edgar A. Bernal
{"title":"Parking lot occupancy determination from lamp-post camera images","authors":"Diana L. Delibaltov, Wencheng Wu, R. Loce, Edgar A. Bernal","doi":"10.1109/ITSC.2013.6728584","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728584","url":null,"abstract":"In recent years, detection of parking space availability has become of great importance worldwide due to its high correlation with fuel consumption and traffic congestion. We propose a novel framework for the automatic detection of vacant parking spaces from a lamp-post camera view of a parking lot. Our method models the 3-D volume parking spaces based on the parking lot geometry. The occupancy of the parking lot is determined based on a vehicle detector and the inferred volume of each space. We evaluate our method on three different datasets and show that its accuracy is close to 80% on a wide variety of test images.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126157921","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 interval based representation of occupancy information for driver assistance systems","authors":"Tobias Weiherer, S. Bouzouraa, U. Hofmann","doi":"10.1109/ITSC.2013.6728205","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728205","url":null,"abstract":"Future Advanced Driver Assistance Systems (ADAS) require detailed information about occupancy states in the vehicle's local environment. In contrast to widespread occupancy grids, this information should be represented in a compact, scalable and easy-to-interpret data structure. In this paper, we show how occupancy probabilities can efficiently be represented in our 2D Interval Map framework. The basic idea of this approach is to discretize the vehicle's environment only in longitudinal direction and to avoid quantization errors in lateral direction by storing continuous values. In order to correctly deal with dynamic obstacles in ADAS scenarios, the map also interacts with a model based object tracking. The comparison of our experimental results to a ground truth illustrates the differences of grid and interval based environment representations. A tested collision avoidance function yields similar results for both representations, while computation times and memory requirements are substantially improved by the application of the 2D Interval Map.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"63 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128738847","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":"Radar-based extended object tracking under clutter using generalized probabilistic data association","authors":"Christian Adam, R. Schubert, G. Wanielik","doi":"10.1109/ITSC.2013.6728428","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728428","url":null,"abstract":"An important foundation for various vehicular applications is a reliable environment recognition. In this context, the simultaneous estimation of the state and the existence of an unknown number of objects under difficult detection conditions is a particular challenge. In this paper, we propose an algorithm for tracking extended objects under clutter. We propose an extended measurement model which enables the estimation of the object width using a standard Kalman filter implementation without the need for clustering the data. As this implies multiple observations generated by one object and additional clutter observations, the generalized probabilistic data association with a state-depended cardinality model is utilized. The proposed algorithm is evaluated with simulated data of a radar-based vehicle tracking system.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129784084","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":"GPS multipath detection and rectification using 3D maps","authors":"S. Miura, Shoma Hisaka, S. Kamijo","doi":"10.1109/ITSC.2013.6728447","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728447","url":null,"abstract":"Global Navigation Satellite Systems (GNSSs) suffer from the problems of invisible satellites and multipath effect in urban canyons. Many approaches have been employed to eliminate multipath signals in order to reduce positioning errors. Among these, those that consider the geometry of surrounding buildings to improve the evaluation of possible multipath signals have gained most interest. However, such approaches, although successful, require many satellites for positioning after eliminating multipath signals. This study proposes an approach in which the multipath signals themselves are used for positioning error correction. The proposed algorithm evaluates the pseudoranges of the possible multipath signals by referring to the building geometry. The assumed position is estimated by using the pseudoranges and is evaluated by the likelihood of the possible positioning error. The proposed method was verified through field experiments in urban canyons in Tokyo.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129916154","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":"Adaptive, data-driven, online prediction of train event times","authors":"P. Kecman, R. Goverde","doi":"10.1109/ITSC.2013.6728330","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728330","url":null,"abstract":"This paper presents a microscopic model for accurate prediction of train event times based on a timed event graph with dynamic arc weights. The process times in the model are obtained dynamically using processed historical track occupation data, thus reflecting all phenomena of railway traffic captured by the train describer systems and preprocessing tools. The graph structure of the model allows applying fast algorithms to compute prediction of event times even for large networks. Accuracy of predictions is increased by incorporating the effects of predicted route conflicts on train running times due to braking and re-acceleration. Moreover, the train runs with process times that continuously deviate from their estimates in a certain pattern are detected and downstream process times are adaptively adjusted to minimize the expected prediction error. The tool has been tested and validated in a real-time environment using train describer log files.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130072209","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":"Non-cooperating vehicle tracking in VANETs using the conditional logit model","authors":"T. Reza, M. Barbeau, G. Lamothe, Badr Alsubaihi","doi":"10.1109/ITSC.2013.6728301","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728301","url":null,"abstract":"Vehicular Ad Hoc Networks (VANETs) are widely considered as indispensable elements of the future intelligent transportation systems that are aiming to apply information and communications technologies to improve transportation safety and quality of experience. We present our take on a relatively unexplored problem, exploiting VANETs for on-road surveillance. The proposal is inspired by multi-agent systems intended for surveillance, e.g., a distributed camera network. We propose a tracking system composed of three operational modules, namely, localization, tracking data collection and prediction of future locations of a target. Camera equipped onboard units (OBUs) act as remote mobile sensors. Tracking messages are communicated among the OBUs and roadside units (RSUs). These messages are also triggered in the possible locations of the target in a timely manner. Therefore, it is imperative to scope the search to limit the number of OBUs and RSUs involved in the tracking operation, thus, minimizing the number of tracking messages. To this end, a movement modeling technique utilizes the OBU-observations to classify the target's movement pattern to aid future trajectory prediction. In our previous work, we proposed a Dirichlet-multinomial (D-M) model under the Bayesian estimation framework. In this paper, we present newly identified cues towards improving the movement estimation model. The D-M model is constrained to the assumption that all the choice sets are identical across trials. We demonstrate that this is almost never the case. The improved model exploits a choice model, called the conditional logit. The conditional logit model is attractive when choice sets vary across trials. Additionally, we weight outcome of each trial according to the given choice sets to achieve higher estimation accuracy. We evaluate the new model by means of an experimental analysis and compare results with the D-M model.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"26 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132399717","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. Linares, C. Carmona, J. Barceló, O. Serch, Oriol Mazariegos-Canellas
{"title":"An approach to multiclass mesoscopic simulation based on individual vehicles for dynamic network loading","authors":"M. Linares, C. Carmona, J. Barceló, O. Serch, Oriol Mazariegos-Canellas","doi":"10.1109/ITSC.2013.6728424","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728424","url":null,"abstract":"Dynamic network loading problem is crucial to perform dynamic traffic assignment. It must reproduce the network flow propagation taking into account the time and a variable traffic demand on each path of the network. In this paper, we consider the simulation-based approach for the dynamic network loading as the best suited option. We present a multiclass multilane dynamic network loading model based on a mesoscopic scheme that considers continuous-time link-based approach with a complete demand discretization. A well-known classification of the dynamic network loading models based on simulation represents models in a 3D space with time, space, and demand axis. Based on that, we propose a new representation scheme which serves as a base of a more detailed classification. We show how our model is displayed in this new classification. Considering disaggregated treatment of each individual vehicle allows to use different vehicles classes in the problem. Moreover, our aim is to reproduce transversal movements described by vehicles changing lanes which can considerably augment the link congestion. Therefore the proposed model allows longitudinal discretization of links in lanes. We computationally tested it on the network of Amara (Spain), and compared the results with those obtained from a microsimulator. The obtained results look promising, showing a good quality in the proposed model. Furthermore, the results show model's ability to reproduce multilane multiclass traffic behaviors for medium-size urban networks.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132873581","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 framework for real-time integrated and anticipatory traffic management","authors":"H. Taale, S. Hoogendoorn","doi":"10.1109/ITSC.2013.6728272","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728272","url":null,"abstract":"This paper presents a framework for real-time integrated and anticipatory traffic management. It uses model predictive control including route choice to optimize traffic management. It is tested for one small network with good results. Simulations varying the prediction horizon, the number of iterations of the assignment within the optimization loop and the optimization criterion were conducted and results of these simulations are given. The framework can be used as a basis for further research on this topic.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127894846","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}
Qiwei Xie, Qianzhi Dai, S. Mita, Qian Long, Yongjun Li
{"title":"Investigate the relationship between the super-efficiency and fixed input in the presence of infeasibility","authors":"Qiwei Xie, Qianzhi Dai, S. Mita, Qian Long, Yongjun Li","doi":"10.1109/ITSC.2013.6728527","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728527","url":null,"abstract":"The fixed input allocation is an important topic in the management science field. Previous data envelopment analysis (DEA) studies consider the problem based on the constant return to scale (CRS) framework (called CCR DEA model). However, the return to scale relationship between inputs and outputs includes three cases: CRS, increasing return to scale (IRS) and decreasing return to scale (DRS). Therefore, it is necessary to study the problem based on DEA under the variable return to scale (VRS) assumption (called BCC DEA model). This paper has two contributions: one is presenting an approach to solve the infeasibility problem when a new variable is added into the super-efficiency BCC DEA model, and the other is investigating the basic relationship between the BCC efficiency scores and the allocated fixed input. Both of them are significant for allocating the fixed input under the VRS DEA framework. Finally, the proposed approach is illustrated by an example of allocating the subsidy among urban public transport enterprises.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127905740","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}