A. D’Ariano, Paolo D'Urgolo, D. Pacciarelli, M. Pranzo
{"title":"Optimal sequencing of aircrafts take-off and landing at a busy airport","authors":"A. D’Ariano, Paolo D'Urgolo, D. Pacciarelli, M. Pranzo","doi":"10.1109/ITSC.2010.5625114","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625114","url":null,"abstract":"This paper studies the problem of sequencing aircraft take-off and landing operations at congested airports. We introduce and analyze alternative detailed formulations and solution algorithms for scheduling arrival and departure times of the aircrafts, such that the delay with respect to the scheduled times is minimized. The aircraft scheduling problem (ASP) is viewed as an extension of the job shop scheduling problem with additional real-world constraints and formulated by using alternative graphs. Two alternative formulations model the required time separation among aircrafts in air segments and runways according to safety regulations and differ for the level of detail used to represent the holding circles. Scheduling rules, heuristic and exact methods are implemented and tested on practical size instances of the Fiumicino airport, the busiest airport in Italy. We show that two versions of an innovative branch and bound algorithm are always able to find good solutions in a few seconds and often improve the best solution computed by the scheduling heuristics. Optimality is proved in less than two minutes for more than half of the instances.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116829687","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. Reichel, M. Botsch, R. Rauschecker, Karl-Heinz Siedersberger, M. Maurer
{"title":"Situation aspect modelling and classification using the Scenario Based Random Forest algorithm for convoy merging situations","authors":"M. Reichel, M. Botsch, R. Rauschecker, Karl-Heinz Siedersberger, M. Maurer","doi":"10.1109/ITSC.2010.5625213","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625213","url":null,"abstract":"Advanced Driver Assistance Systems (ADAS) require an understanding of complex traffic situations. Such complexity can be handled by decomposing traffic situations into analyzeable subsets called Situation Aspects (SA). Since lots of situation analyzing problems result in classification tasks, the Scenario Based Random Forest (SBRF) algorithm is introduced into the field of ADAS situation analysis research. This classification method is designed to handle feature sets that develop over time and classification results that can be judged only by using complete scenarios instead of single time snap-shots. Furthermore, it has the advantage of using the out of bag (oob) estimation technique in order to perform feature selection. The problem of detecting a convoy merging traffic situation in real traffic scenarios serves as example to show the process of situation aspect modelling, feature selection and classification using the above mentioned methodology. It is demonstrated how the challenge of labelling changing SA can be solved using an undefined transition class and how this effects classification results. Because unbalanced data sets often occur in ADAS situation analysis, results on over- and downsampling strategies are described as well.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117087584","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":"Integrated urban traffic control for the reduction of travel delays and emissions","authors":"Shu Lin, B. Schutter, Y. Xi, H. Hellendoorn","doi":"10.1109/ITSC.2010.5625020","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625020","url":null,"abstract":"An integrated macroscopic traffic model is proposed, which integrates a macroscopic urban traffic flow model with a microscopic traffic emission model for individual vehicles. As a macroscopic model, the integrated model is fast enough for on-line control purposes. Nevertheless, the model can still capture the traffic emissions for vehicles in different states compared with using a macroscopic traffic emission model, because of the accuracy of the microscopic traffic emission model. Model Predictive Control is applied to control urban traffic areas based on the integrated traffic model, aiming at reducing both travel delays and traffic emissions.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128216007","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":"Toward effective strategies for energy efficient network management","authors":"J. Vreeswijk, E. Berkum, B. Arem, H. V. Vliet","doi":"10.1109/ITSC.2010.5625125","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625125","url":null,"abstract":"Trade-offs in efficiency, equity and acceptability arise as a central feature in traffic management. Today's urban traffic network management strategies focus on overall system performance and often overlook the interests of the individual road user. In addition, the emphasis is on travel time savings and scarcely on the environmental impact of traffic. This research contributes to knowledge on the trade-offs between collective and individual interests (multi-level) and accessibility, and the environment (multi-objective). The objective is to integrate these trade-offs in new strategies for energy efficient network management and evaluate these strategies with the ecoAdaptive Balancing and Control application of the eCoMove project. This paper discusses findings from literature review and presents the design of a Ph.D. research.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129190396","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":"Comprehensive treated sections in a trajectory planner for realizing autonomous driving in Braunschweig'S urban traffic","authors":"J. Wille, F. Saust, M. Maurer","doi":"10.1109/ITSC.2010.5625155","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625155","url":null,"abstract":"With the announcement of the “Stadtpilot”- Project the Technische Universität Braunschweig has accepted the challenge of guiding a vehicle fully autonomously in the complex environment of Braunschweig's entire ring road. Autonomous driving on this two-lane urban road includes interaction with traffic, behavior at intersections, lane change maneuvers at speeds up to 60 km/h as well as merging into moving traffic. The demanding terms of the surroundings require an extremely high precision of all modules. Compared to former research activities in autonomous driving, the width of the ring road's roadway varies significantly and has both narrow curves close to the turn radius of the vehicle and straight roads. Therefore, a new approach for trajectory planning having the comprehensive treatment of path-planned sections as its distinctive feature has been realized and the first major success within the context of the “Stadtpilot”-Project. Curvature optimized trajectories are generated over the whole roadway that are independent from the way driving decision are found, resulting in a safe, smooth and comfortable driving behavior. This paper introduces the algorithm and shows its potential on the basis of a typical driving maneuver on the ring road.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114303542","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":"Sensitivity analysis on heterogeneity of driving behavior for evacuation studies and its impacts on traffic safety","authors":"H. Tu, G. Tamminga, A. Pel, Hans Drolenga","doi":"10.1109/ITSC.2010.5625148","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625148","url":null,"abstract":"The driving behavior of travelers has been found to be different in case of emergency conditions compared to normal traffic conditions. In this paper, we show how this different driving behavior, as well as the heterogeneity among drivers, has an impact on traffic safety. We do so by performing a sensitivity analysis on the model parameters representing the different (heterogeneous) driving behavior and investigating the impact of these variations on traffic safety. The analysis is conducted applying an evacuation simulation framework using S-Paramics. The results show that reductions in mean time headway and minimum gap substantially increase the number of potential safety conflicts. Also, it is found that variation in driving behavior plays a smaller, yet still important, role in traffic safety.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116506328","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":"Privacy implications of the Traffic Probe Message Service","authors":"J. Blum, Peter O. Okusun","doi":"10.1109/ITSC.2010.5625248","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625248","url":null,"abstract":"The Traffic Probe Message Service will enable traffic managers to gather roadway state data via wireless communication with vehicles. Despite privacy protections specified for the service, it remains vulnerable to inference attacks aimed at reconstructing the path of a vehicle through the roadway. This paper presented a model for evaluating the location privacy in the Traffic Probe Message Service. This model identifies three key areas for improvement in the privacy protection of participating vehicles, including guidelines for the changing of pseudonymous identifiers, for data attributes included in the probe service, and for the placement of roadside equipment.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121694170","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":"Tracking oncoming and turning vehicles at intersections","authors":"A. Barth, Uwe Franke","doi":"10.1109/ITSC.2010.5624969","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5624969","url":null,"abstract":"This article addresses the reliable tracking of oncoming traffic at urban intersections from a moving platform with a stereo vision system. Both motion and depth information is combined to estimate the pose and motion parameters of an oncoming vehicle, including the yaw rate, by means of Kalman filtering. Vehicle tracking at intersections is particularly challenging since vehicles can turn quickly. A single filter approach cannot cover the dynamic range of a vehicle sufficiently. We propose a real-time multi-filter approach for vehicle tracking at intersections. A gauge consistency criteria as well as a robust outlier detection method allow for dealing with sudden accelerations and self-occlusions during turn maneuvers. The system is evaluated both on synthetic and real-world data.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126255571","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":"Characterization of hurried driving based on collision risk and attentional allocation","authors":"T. Wada, Makoto Yoshida, S. Doi, S. Tsutsumi","doi":"10.1109/ITSC.2010.5625252","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625252","url":null,"abstract":"This paper proposes a method to characterize hurried driving from the viewpoint of attention allocation. When overtaking another car, drivers need to manage the collision risk by allocating their attention appropriately, thus increasing their mental workload. However, drivers' hurrying mental status likely arises in such situations, even though it is risky. Therefore, this study investigates the relationship between the risk of collision with surrounding vehicles and attention allocation when overtaking other vehicles. We will show that hurried driving can be characterized by outliers from the modeled distribution of normal driving in terms of the relationship between collision risk with the lead vehicle and continuous gaze time to the rear vehicle. Furthermore, a potential method to detect hurried driving is proposed by applying the results.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125841966","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":"First European STREP on Cooperative Intersection Safety, INTERSAFE-2","authors":"B. Rössler, K. Fuerstenberg","doi":"10.1109/ITSC.2010.5625101","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625101","url":null,"abstract":"Today most so called ‘black spots’ have been eliminated from the road networks. However, intersections can still be regarded as black spots. Depending on the region and country, from 30% to 60% of all injury accidents and up to one third of the fatalities occur at intersections. This paper gives an overview on the first European STREP on Cooperative Intersection Safety (INTERSAFE-2) where an Advanced Driver Assistance System is developed which is capable of reducing a large part of all these intersection related accidents.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121942488","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}