T. Speth, R. Riebl, T. Brandmeier, Christian Facchi, A. Al-Bayatti, U. Jumar
{"title":"Enhanced Inter-Vehicular relative positioning","authors":"T. Speth, R. Riebl, T. Brandmeier, Christian Facchi, A. Al-Bayatti, U. Jumar","doi":"10.1109/ITSC.2016.7795657","DOIUrl":"https://doi.org/10.1109/ITSC.2016.7795657","url":null,"abstract":"Intelligent Transportation System (ITS) applications for integral and cooperative vehicle safety as well as some Advanced Driver Assistance Systems (ADASs) benefit from precise determination of relative positions between dynamic traffic objects. With conventional Global Navigation Satellite System (GNSS) measurements, e.g. using Global Positioning System (GPS), the required accuracy cannot be achieved. For this reason, an exchange of GNSS observations via Vehicular Ad-Hoc Network (VANET) is proposed in this paper. In particular, the European Inter-Vehicle Communication (IVC) protocol stack ITS-G5 is employed. With these exchanged GNSS observations, Differential GNSS (DGNSS) or Real-Time Kinematic (RTK) calculations provide a precise relative position vector. However, due to relative movement of traffic objects, this position vector becomes obsolete for increasing transmission delays. For this reason, a mitigating kinematic model is set up and validated experimentally. With respect to fixed RTK solutions, this kinematic model reduces the errors by an average of 61% compared to position calculations ignoring IVC latency.","PeriodicalId":189845,"journal":{"name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","volume":"41 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130180868","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}
J. Dueholm, M. S. Kristoffersen, R. Satzoda, Eshed Ohn-Bar, T. Moeslund, M. Trivedi
{"title":"Multi-perspective vehicle detection and tracking: Challenges, dataset, and metrics","authors":"J. Dueholm, M. S. Kristoffersen, R. Satzoda, Eshed Ohn-Bar, T. Moeslund, M. Trivedi","doi":"10.1109/ITSC.2016.7795671","DOIUrl":"https://doi.org/10.1109/ITSC.2016.7795671","url":null,"abstract":"The research community has shown significant improvements in both vision-based detection and tracking of vehicles, working towards a high level understanding of on-road maneuvers. Behaviors of surrounding vehicles in a highway environment is found as an interesting starting point, of why this dataset is introduced along with its challenges and evaluation metrics. A vision-based multi-perspective dataset is presented, containing a full panoramic view from a moving platform driving on U.S. highways capturing 2704×1440 resolution images at 12 frames per second. The dataset serves multiple purposes to be used as traditional detection and tracking, together with tracking of vehicles across perspectives. Each of the four perspectives have been annotated, resulting in more than 4000 bounding boxes in order to evaluate and compare novel methods.","PeriodicalId":189845,"journal":{"name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129882403","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}
Peibo Duan, Guoqiang Mao, Changsheng Zhang, Shangbo Wang
{"title":"STARIMA-based traffic prediction with time-varying lags","authors":"Peibo Duan, Guoqiang Mao, Changsheng Zhang, Shangbo Wang","doi":"10.1109/ITSC.2016.7795773","DOIUrl":"https://doi.org/10.1109/ITSC.2016.7795773","url":null,"abstract":"Based on the observation that the correlation between observed traffic at two measurement points or traffic stations may be time-varying, attributable to the time-varying speed which subsequently causes variations in the time required to travel between the two points, in this paper, we develop a modified Space-Time Autoregressive Integrated Moving Average (STARIMA) model with time-varying lags for short-term traffic flow prediction. Particularly, the temporal lags in the modified STARIMA change with the time-varying speed at different time of the day or equivalently change with the (time-varying) time required to travel between two measurement points. Firstly, a technique is developed to evaluate the temporal lag in the STARIMA model, where the temporal lag is formulated as a function of the spatial lag (spatial distance) and the average speed. Secondly, an unsupervised classification algorithm based on ISODATA algorithm is designed to classify different time periods of the day according to the variation of the speed. The classification helps to determine the appropriate time lag to use in the STARIMA model. Finally, a STARIMA-based model with time-varying lags is developed for short-term traffic prediction. Experimental results using real traffic data show that the developed STARIMA-based model with time-varying lags has superior accuracy compared with its counterpart developed using the traditional cross-correlation function and without employing time-varying lags.","PeriodicalId":189845,"journal":{"name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132191365","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}
T. Silva, L. Dias, M. Nunes, G. Pereira, P. Sampaio, J.A. Oliveira, P. Martins
{"title":"Simulation and economic analysis of an AGV system as a mean of transport of warehouse waste in an automotive OEM","authors":"T. Silva, L. Dias, M. Nunes, G. Pereira, P. Sampaio, J.A. Oliveira, P. Martins","doi":"10.1109/ITSC.2016.7795561","DOIUrl":"https://doi.org/10.1109/ITSC.2016.7795561","url":null,"abstract":"Companies with high quality production systems like the automotive industry OEM's (Original Equipment Manufacturer), need to control the containers in which the raw materials are delivered onto the production lines to make sure quality standards are not breached. They commonly have to change the containers from their suppliers to special clean vessels. Hence a new flow of residues is created by this repacking process, the problem arises with the need to minimize the impact that this flow has on the milk runs that supply the lines with raw materials and maintaining the cost of its operation as low as possible. Different AGV (Automated Guided Vehicles) system configurations were tested based on their financial and functionality feasibility to see if the use of AGVs is viable to perform this kind of activities. SIMIO simulation tool was used to assess the performance of each AGV configuration on the metrics of buffer size, total travelled distances, resource utilization and effect on the output of the plant for four different production levels (units/shift). A configuration was clearly better, for the highest production level scenario: it freed 12 m2 of buffer area; it reduced operators travelled distances by 88%; it was suitable for 120% of the current production levels; had a payback time of less than 2 years and a net present value of 232K€.","PeriodicalId":189845,"journal":{"name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126416616","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":"Agent-based model of highway traffic: Reduction in driving efficiency with density","authors":"P. Kasture, H. Nishimura","doi":"10.1109/ITSC.2016.7795527","DOIUrl":"https://doi.org/10.1109/ITSC.2016.7795527","url":null,"abstract":"In this paper, we present an analysis of the correlation between the driving efficiency of drivers and traffic congestions on a highway. An agent-based model of highway traffic is used, where individual drivers are represented by agents undergoing single-lane unidirectional motion on a highway. In the proposed model, changes in the agent-modelling rules are able to simulate behavioural changes in driving efficiency of drivers. In addition, results from multiple simulations are compared with real life data. These comparisons show that during traffic congestions, driving efficiency of amateur drivers on a highway declines with an increase in the vehicular density on the same highway. Furthermore, this decrease in the driving efficiency of amateur drivers leads to a reduction of average velocity of all drivers on the same highway.","PeriodicalId":189845,"journal":{"name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","volume":"44 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134589997","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}
Renan Santos Mendes, E. Wanner, J. Sarubbi, F. V. Martins
{"title":"Optimization of the vehicle routing problem with demand responsive transport using the NSGA-II algorithm","authors":"Renan Santos Mendes, E. Wanner, J. Sarubbi, F. V. Martins","doi":"10.1109/ITSC.2016.7795983","DOIUrl":"https://doi.org/10.1109/ITSC.2016.7795983","url":null,"abstract":"Demand Responsive Transport (DRT) systems emerge as an alternative to deal with the problem of variable demand, or even unpredictable, occurring in conventional urban transport systems. It can be seen in some practical situations such as public transport in rural areas, wherein in some situations, there is no way to predict demand. This paper addresses the Vehicle Routing Problem with Demand Responsive Transport (VRPDRT), a type of transport which enables customers to be taken to their destination like a taxi or minibus in order to reduce operating costs and to meet customer needs. A multiobjective approach is proposed to VRPDRT in which five different objective functions are used. These functions are aggregated in three new functions resulting in a three-objective formulation for VRPDRT. When using a three objective approach, that formulation allows a better understanding of the company and human perspectives while permitting to solve the resulting problem in an efficient way. The proposed three-objective optimization problem is solved using a random method of generating solutions and an algorithm considered state of the art, the Non-dominated Sorting Genetic Algorithm II (NSGA-II). The sets of solutions are compared using the Set Coverage Metric. The results show that the NSGA-II algorithm could obtain sets of solutions with better values for all objective functions used also called the non-dominated solutions set.","PeriodicalId":189845,"journal":{"name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121087129","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}
R. Peixoto, L. Dias, M. Carvalho, G. Pereira, Carla A. S. Geraldes
{"title":"An automated warehouse design validation using discrete simulation","authors":"R. Peixoto, L. Dias, M. Carvalho, G. Pereira, Carla A. S. Geraldes","doi":"10.1109/ITSC.2016.7795554","DOIUrl":"https://doi.org/10.1109/ITSC.2016.7795554","url":null,"abstract":"In this paper we discuss the use of discrete simulation technique to support the redesign process of an automated warehouse system of the Brazilian Air Force unit. This unit is responsible for the supply of all uniform items and other military support material to their military forces. In particular, our work aims at analysing the inclusion of an automated sorting system to prepare uniforms individual kits in order to release downstream supply chain from this task. The main challenge was to investigate the impact on the existing storage system of a new sorting system and, simultaneously, to explore if additional management measures are required to satisfy both throughput levels and overall supply chain requirements. To accomplish a solution for such a complex problem simulation models were developed using ARENA software. Results have shown that the use of simulation allows not only the assessment of the impact of the new sorting equipment but also to test different warehouse management strategies that should be adopted concurrently to ensure that desired throughput levels can be achieved in the new scenario. In fact, this research illustrates the flexibility of the simulation tool to address several complex management issues simultaneously such as the introduction of picking sequencing rules, the use of a class-based storage policy, the addition of new picking stations, and an increase of the number of the available boxes used for transportation.","PeriodicalId":189845,"journal":{"name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115221956","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. Kleyko, R. Hostettler, Nikita Lyamin, W. Birk, U. Wiklund, Evgeny Osipov
{"title":"Vehicle classification using road side sensors and feature-free data smashing approach","authors":"D. Kleyko, R. Hostettler, Nikita Lyamin, W. Birk, U. Wiklund, Evgeny Osipov","doi":"10.1109/ITSC.2016.7795877","DOIUrl":"https://doi.org/10.1109/ITSC.2016.7795877","url":null,"abstract":"The main contribution of this paper is a study of the applicability of data smashing - a recently proposed data mining method - for vehicle classification according to the “Nordic system for intelligent classification of vehicles” standard, using measurements of road surface vibrations and magnetic field disturbances caused by passing vehicles. The main advantage of the studied classification approach is that it, in contrast to the most of traditional machine learning algorithms, does not require the extraction of features from raw signals. The proposed classification approach was evaluated on a large dataset consisting of signals from 3074 vehicles. Hence, a good estimate of the actual classification rate was obtained. The performance was compared to the previously reported results on the same problem for logistic regression. Our results show the potential trade-off between classification accuracy and classification method's development efforts could be achieved.","PeriodicalId":189845,"journal":{"name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115875131","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 real-time holding decision rule accounting for passenger travel cost","authors":"G. Laskaris, O. Cats, E. Jenelius, F. Viti","doi":"10.1109/ITSC.2016.7795944","DOIUrl":"https://doi.org/10.1109/ITSC.2016.7795944","url":null,"abstract":"Holding has been extensively investigated as a strategy to mitigate the inherently stochastic nature of public transport operations. Holding focuses on either regulating vehicle headways using a rule-based approach or minimizing passenger travel cost by employing optimization models. This paper introduces a holding decision rule that explicitly addresses passenger travel cost. The decision to hold relies on the passenger demand distribution along the line. The passenger cost holding rule is tested using simulation for a high frequency bus line in Stockholm, Sweden and is compared with a no-control scheme and the currently used headway-based strategy. The results indicate that the new decision rule results in relatively minor reductions of passenger cost compared to the currently adopted strategy, and that it allocates the greatest share of holding time at the beginning of the route.","PeriodicalId":189845,"journal":{"name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","volume":"181 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115110323","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 Genetic Algorithm for the mass transit crew rostering problem","authors":"L. D. C. Martins, G. P. Silva","doi":"10.1109/ITSC.2016.7795946","DOIUrl":"https://doi.org/10.1109/ITSC.2016.7795946","url":null,"abstract":"In this paper the Crew Rostering Problem (CRP) from a Brazilian public transit company is modeled and solved by a Genetic Algorithm (GA). The CRP consists of assigning duties on weekdays, Saturdays and Sundays to the crew members of a company over a given planning horizon, minimizing the number of crews and also balancing the workload of the crews, reducing the total number of accumulated overtime and idle time for each crew, subject to a set of operational and legal constraints. The CRP is solved in two stages: defining the sequence of working and rest periods, and defining the daily assignment to be performed in each working period by each employee. The GA was tested with data from a medium sized Brazilian company and was shown to be efficient.","PeriodicalId":189845,"journal":{"name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114979036","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}