{"title":"Virtual test driver for critically stable driving maneuvers","authors":"S. Khatab, A. Trächtler","doi":"10.1109/ITSC.2013.6728495","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728495","url":null,"abstract":"In this paper a virtual test driver will be presented which has been developed to carry out standard test maneuvers. The virtual test driver must be able to effectively control a road vehicle under critically stable driving conditions. Results obtained from the virtual test driver will be used to evaluate the performance of a race car under development as an entrant to the Formula Student competition.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"65 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":"115439547","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}
Masataka Mori, C. Miyajima, Takatsugu Hirayama, N. Kitaoka, K. Takeda
{"title":"Integrated modeling of driver gaze and vehicle operation behavior to estimate risk level during lane changes","authors":"Masataka Mori, C. Miyajima, Takatsugu Hirayama, N. Kitaoka, K. Takeda","doi":"10.1109/ITSC.2013.6728526","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728526","url":null,"abstract":"In this paper, we investigate a method for detecting risky lane changes using integrated modeling of driver gaze and vehicle operation behavior. Driver gaze direction and vehicle operation behavior are broken down into discrete acts, e.g., looking in the rear view mirror, braking, etc., and sequences of these actions are jointly modeled using multi-stream hidden Markov models (HMMs). Driving data is recorded on expressways as drivers pass leading vehicles, i.e., the drivers make two lane changes, first to pass leading vehicles and then to move back into their original lanes. Since actual driving risk levels are difficult to measure, the risk level of each lane change is rated by subjects, and we assume their scores represent the “ground-truth” risk level. By jointly modeling gaze and vehicle operation behavior, we improve the performance of risky lane change detection. To more accurately evaluate overall risk, we use data from multiple lane change events. We obtain an average correlation coefficient of 0.80 between HMM likelihood scores and subjective risk evaluation scores by accumulating HMM likelihoods for a period of fourteen minutes. By accumulating these indicators for the previous twenty minutes, a 96.0% risky driving detection rate is achieved with a 7.1% false positive rate.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"37 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":"116643881","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}
Dirk Hulsebusch, Maike Salfeld, Igor Ponomarev, F. Gauterin
{"title":"The impact of energy efficient driving strategies on rear-end safety","authors":"Dirk Hulsebusch, Maike Salfeld, Igor Ponomarev, F. Gauterin","doi":"10.1109/ITSC.2013.6728465","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728465","url":null,"abstract":"In recent years, driver assistant systems have been introduced that enable the driver to reduce the fuel consumption. Several studies have shown that energy efficient driving has often positive effects on the driving safety. Though, the safety has been mostly evaluated regarding the preceding traffic and does not consider trade-offs due to the disacceptance of following drivers. Therefore, within this paper, the influences of energy efficient driving on rear-end safety are investigated in a study with real traffic. The results show that using energy efficient deceleration strategies before a speed limit, e.g. fuel cut-off or coasting, leads to a significant reduction of the time headway between the following and ego-vehicle. For example, the median time proportion of time headways lower than 0.9 s is increased from 0 to 25 % when the coasting strategy is applied.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"27 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":"116694802","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}
Honghui Dong, Mingchao Wu, Qingchao Shan, Na Chen, Siyang Qin, Yin Tian, L. Jia, Yong Qin
{"title":"Urban residents travel analysis based on mobile communication data","authors":"Honghui Dong, Mingchao Wu, Qingchao Shan, Na Chen, Siyang Qin, Yin Tian, L. Jia, Yong Qin","doi":"10.1109/ITSC.2013.6728440","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728440","url":null,"abstract":"The statistics of residents' travel is a very important basic data in traffic planning. Traditional resident trip survey usually uses the methods household survey and roadside monitoring which is time-consuming acquiring process, expensive and low-level automaticity. The method of calculating OD traffic capacity through the traffic volumes of road sections is studied in the preceding years, but it is difficult in parametric inference and algorithm solution, and its accuracy yet to be improved. With the development of mobile communication technology, the method of positioning based on GSM mobile phone network has attracted much attention in the application of traffic area. This paper introduces the mobile positioning technology, and uses the residents' mobile phone location and timestamps date, combined with the technology of map matching, adopting holistic approach and collecting idea, to analysis the OD trips between traffic cells. We use the mobile phone location data provided by the operator in China to confirm this method.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"20 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":"127113922","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":"Simultaneous calibration of microscopic traffic simulation model and estimation of origin/destination (OD) flows based on genetic algorithms in a high-performance computer","authors":"Reza Omrani, L. Kattan","doi":"10.1109/ITSC.2013.6728573","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728573","url":null,"abstract":"The objective of this paper is the development of a multi-criteria optimization framework for the simultaneous calibration of demand and supply parameters in DTA. The presented approach estimates origin-destination (OD) flows and calibrates the driver behavioral and route choice parameters in a complex network modeled in Paramics microscopic traffic simulation model. Genetic Algorithm (GA) is chosen as the solution method for solving the stochastic nonlinear optimization problem. A high-performance computing cluster is used to run GA in parallel computer processing engines. The application of the framework on a large case-study network showed that the incorporation of speed data from in-vehicle navigation systems improves significantly the calibration performance in terms of improved accuracy of estimated counts and speed. In addition, the incorporation of speed data makes the calibration problem less dependent on the starting OD flows. Finally, the application of a distributed GA was shown to significantly reduce the computational time of the calibration of DTA systems.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"21 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":"124840287","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":"Should collision avoidance systems use yaw stabilization?","authors":"Daniel Hess, M. Althoff, T. Sattel","doi":"10.1109/ITSC.2013.6728532","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728532","url":null,"abstract":"Due to historical reasons or system development aspects, many high-level control tasks in vehicles are performed by underlying low-level controllers. This separation of concerns provides reliable systems, but potentially degrades the performance compared to centralized control. Performance losses are acceptable for most control tasks, but for collision avoidance systems one should not compromise on safety. We investigate the performance loss for collision avoidance systems when an underlying yaw stabilization controller is used, which can be found in many modern vehicles under various product names, such as electronic stability control (ESC). Since electronic stability control differs from vehicle to vehicle, we use an idealized controller that performs better than or equally well as an actual realization. It is shown that central control concepts bypassing the yaw stabilization perform better than a hypothetical controller embedded with the idealized yaw stabilization. We also provide a measure for the performance loss, which should support the decision for or against the use of yaw stabilization in collision avoidance systems.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"71 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":"123410136","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 spatio-temporal multivariate adaptive regression splines approach for short-term freeway traffic volume prediction","authors":"Yanyan Xu, Qingjie Kong, Yuncai Liu","doi":"10.1109/ITSC.2013.6728236","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728236","url":null,"abstract":"Current freeway traffic flow prediction techniques pay attention to time series prediction or introduce the upstream adjacent road segments in the short-term prediction model. In this paper, all of the road segments on the freeway are considered as candidates of the independent variables fed into the prediction model. A spatio-temporal multivariate adaptive regression splines (MARS) approach is proposed for the road network analysis and to predict the short-term traffic volume at the observation stations on the freeway. The actual traffic data are collected from a series of observation stations along a freeway in Portland every 15 minutes. In the first phase, the macroscopic dependency relationships of the stations on the freeway are investigated via MARS method. Subsequently the stations most related to the object station are selected and fed into the MARS prediction model to generate the short-term volume. The experiments are carried out on the actual traffic data and the results indicate that the proposed spatio-temporal MARS model can generate superior prediction accuracy in contrast with the historical data based MARS model, the parametric ARIMA, and the nonparametric PPR methods.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"21 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":"114946182","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 optimal path controller minimizing longitudinal and lateral deviations after light collisions","authors":"Derong Yang, T. Gordon, B. Jacobson, M. Jonasson","doi":"10.1109/ITSC.2013.6728346","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728346","url":null,"abstract":"This paper considers the problem of path control for a road vehicle immediately after it is disturbed by an initial light collision. Assuming that the driver cannot adequately control the vehicle during such an event, active chassis controls such as front steering and friction brakes are applied to minimize the risk and/or severity of a secondary impact, e.g. with roadside objects. Statistics have shown that traffic accidents where a vehicle suffers more than one collision comprise about 25% of all passenger car accidents. In this paper, the crash risk for secondary collisions is formulated via a cost function and an optimal controller is developed. The cost function may penalize both longitudinal and lateral deviations from the point of initial impact, and is assumed here to be a time-integrated quadratic function of position. For closed-loop implementation this is further approximated using a simple terminal velocity cost, the direction of which represents predicted locations of maximum risk/harm. A six-state quasi-linear path controller is developed using nonlinear optimal control theory. Example cases are presented, verifying approximate equivalency between cost functions and satisfactory control performance compared with independent open-loop numerical optimizations.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"194 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":"115255449","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":"SWIR images evaluation for pedestrian detection in clear visibility conditions","authors":"A. Miron, A. Bensrhair, R. I. Fedriga, A. Broggi","doi":"10.1109/ITSC.2013.6728257","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728257","url":null,"abstract":"Pedestrian detection is a difficult task with significant practical interests especially in the field of Intelligent Transportation Systems. While the problem has been thoroughly studied from a visible, mid-wave infrared and far-wave infrared cameras perspective, little attention has been paid to the short-wave infrared spectrum. But although light in the short-wave infrared region is imperceptible to the eye, due to its reflective nature, it interacts with objects similarly to the visible wavelengths. As a result, short-wave images, including both shadows and contrast, are comparable to visible images in resolution and detail but they are not comparable in color, a feature which makes objects recognizable and yields one of the advantages of the short-waves, namely object or individual identification. In this paper we evaluate the pertinence of employing the short-wave bandwidths for the task of detecting pedestrians in clear visibility conditions.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"10 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":"115531928","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":"Observing on-road vehicle behavior: Issues, approaches, and perspectives","authors":"Sayanan Sivaraman, B. Morris, M. Trivedi","doi":"10.1109/ITSC.2013.6728485","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728485","url":null,"abstract":"In this work, we review recent works comprising an emerging field of intelligent transportation: behavior analysis of vehicles. The ITS community has approached this topic both from vehicle-based and infrastructure-based sensing. In both cases, motion is the key indicator required for behavioral characterization, with accurate long-term prediction being the ultimate goal. However, the popular methods for behavior characterization differ between the sensing methodologies. Vehicle-based sensing tends to focus on spatio-temporal measurements coupled with various features for accurate estimation of object state. In contrast, infrastructure-sensing tends to avoid attempting high resolution estimation of vehicle state and prefers to utilize patterns learned in aggregate for constrained estimation. This review focuses on vision-based sensing and provides highlights of state-of-the art methods used in surveillance, and on-road vision modalities. We provide discussion and comment on future directions in the field.","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":"115998561","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}