2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)最新文献

{"title":"Impacts of Shared Autonomous Vehicles on the Travelers’ Mobility","authors":"Jamil Hamadneh, D. Esztergár-Kiss","doi":"10.1109/MTITS.2019.8883392","DOIUrl":"https://doi.org/10.1109/MTITS.2019.8883392","url":null,"abstract":"In this paper agent-based modeling was used, and simulation of activities were conducted to study both the existing behavior of travelers and the behavior of travelers considering shared autonomous vehicles (SAV). In the modeling framework distance, travel time, travel cost, fleet size and capacities of vehicle types were used as main parameters. Additionally, we created user groups (long commute drivers, car rider, high class income), who are more willing to use SAV. Simulations of the daily plan of activities were performed using Multi-agent Transport simulation tool (MATSim), which applies the concept of co-evolutionary algorithm. Travel plans of around 3000 persons were simulated, and fleet sizes of 20, 50, 100 SAVs were examined. The results showed that 1 SAV can replace 8 conventional vehicles with acceptable average waiting time ranging from 7-10 minutes and usage of 4-seats (shared trip). The utility function that were used in the study showed that the travel time decreased by 17% and the travel distance decreased by 20% after 100 iterations performed on the existing plans. Moreover, the long commuter and high-income travelers can be served by 20 SAV with waiting time of 10 minutes and trip duration of 20 minutes. In this case 1 SAV can replace 6 conventional cars with acceptable average waiting time 10-15 minutes.","PeriodicalId":285883,"journal":{"name":"2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128921238","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":"Assessment and classification of selected ITS in Poland","authors":"A. Ryguła, Dariusz Baran","doi":"10.1109/MTITS.2019.8883359","DOIUrl":"https://doi.org/10.1109/MTITS.2019.8883359","url":null,"abstract":"The work presents a review of selected Intelligent Transport Systems (ITS) in Poland. In the vast majority of the 29 cities that have been classified by the Central Statistical Office in Poland as the largest cities in terms of population, the ITS already exist. In the article selected the ITS in cities with the largest population and where the system was implemented comprehensively i.e. it was implemented as one integrated system. In the case of the already built urban ITS systems, the assessment of the implementation was carried out, among others, on the basis of earlier assumed indicators. These indicators were usually limited to a relative reduction of travel time in the area covered by the project, calculated separately for individual and public transport. Due to the implementation of the priority for public transport assumed a stronger effect of reducing the travel time by public vehicles than the individual one. The values of the travel time reduction were planned at around 5-10%. Post-implementation descriptions of systems also indicate qualitative indicators, such as reducing the number of stops, obtaining traffic improvement, increasing safety and more efficient response to the occurring events. In connection with the above, the authors have compiled the essential functions and roles of selected systems as well as obtained quantitative and qualitative indicators of implementations. The article also presents the classification of the particular ITS, which was implemented on the basis of the obtained data and which includes, inter alia, the cost of building the system, population, implemented subsystems and the number of intersections with traffic lights covered by the ITS system. This compilation allows to see existing correlations between selected parameters and to determine trends and dependencies of individual values. Another important element of the work is the analysis of Key Performance Indicators (KPI) for selected ITS. These indicators allow to determine the values achieved through the use of ITS systems and monitor their current effectiveness. The indicators are, among others, recommended by the EU in order to uniform and standardize the assessment of the effects of implementing ITS road systems. As a result of literature research selected KPI that are possible to be calculated from available data and referred those KPI to selected projects and implementations of ITS in Poland. The authors also pay attention to the need for changes in the approach to the implementation of ITS systems or applications, which should take into account the needs of end users of the system. The association of the consumer with the values offered by ITS allows for the determination of a long-lasting and effective strategy for the implementation and development of systems.","PeriodicalId":285883,"journal":{"name":"2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130716673","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":"Automating Ticket Validation: A Key Strategy for Fare Clearing and Service Planning","authors":"Giovanni Tuveri, M. Garau, Eleonora Sottile, Lucia Pintor, Matteo Gravellu, L. Atzori, I. Meloni","doi":"10.1109/MTITS.2019.8883318","DOIUrl":"https://doi.org/10.1109/MTITS.2019.8883318","url":null,"abstract":"In order to achieve a sustainable mobility environment, an efficient public transport framework, in which different means and companies coexist, is essential. An integrated fare system thus needs to exist, along with an agreement among the service providers for ticket revenue sharing (clearing), to avoid creating a barrier to the adoption of public transport, since users tend to be overwhelmed by many tickets and several purchase methods. The results of an extensive review of the current state of the art, regarding the possible solutions for ticket validation, which can be provided to the users by the service providers, lead to identifying a solution, whose aim is to combine the needs of both users and providers, by developing a system to simplify user experience, while at the same time collecting precious data for service monitoring and planning. This will be practically achieved through a flexible ticket validation system which will make use of three different technologies (QR codes, GPS and Bluetooth). The contributions of this work are: i) greater flexibility in ticket validation obtained by using multiple technologies; ii) the novelty of a gamification layer applied to mobile ticketing; iii) the identification of a method for obtaining clearing-related data. The adoption of multiple technologies introduces different benefits: to the users, who will be able to complete trips on multiple vehicles without worrying about ticket compatibility; and to the companies, who will be free to choose among the multiple options, and will thus not be forced to adopt a single technological solution. The main expected result is the collection of key validation related information, which will be exploited mainly for clearing purposes and possibly even in real time for optimizing fleet management.","PeriodicalId":285883,"journal":{"name":"2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122160854","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 Potential for Traffic Emission Reduction on Freeways with Dynamic Line Control System analyzed with PTV Vissim","authors":"Claude Marie Weyland, H. Sebastian Buck, P. Vortisch","doi":"10.1109/MTITS.2019.8883383","DOIUrl":"https://doi.org/10.1109/MTITS.2019.8883383","url":null,"abstract":"The objective of this research is to analyze by means of microscopic traffic flow simulation whether the integration of traffic emissions in the control criteria of a dynamic line control system can lead to a reduction in emissions.A traffic flow model of a German freeway, equipped with a dynamic line control system, is built and calibrated in PTV Vissim. The current control logic is implemented in Python and integrated into Vissim through the COM interface. The acceptance of the road users towards the displayed speed limits is investigated using measured traffic data from the examined section and is included in the model. Traffic emissions are determined during the simulation, and the control logic is adapted. We performed the emission assessment using the Handbook Emission Factors for Road Transport (HBEFA) for air emissions (CO2, NOx, and PM) and the German guidelines for noise protection on roads (RLS-90) for noise emissions.To evaluate the control logic’s influence on resulting traffic emissions, the existing control logic, as it operates currently, is compared to altered control logics with additional consideration of emissions. An analysis of the emissions shows that the integration of pollution-based control criteria has a positive effect. All air and noise emissions can be slightly reduced by adjusting the control logic, with no significant changes in travel times.","PeriodicalId":285883,"journal":{"name":"2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128259025","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":"Combining Speed Adjustment and Holding Control for Regularity-based Transit Operations","authors":"A. Imran, N. V. Oort, O. Cats, S. Hoogendoorn, Pieter van der Pot","doi":"10.1109/MTITS.2019.8883368","DOIUrl":"https://doi.org/10.1109/MTITS.2019.8883368","url":null,"abstract":"Vehicle bunching often occurs in high- frequency transit systems leading to deterioration of service reliability. It is thus necessary to control vehicles during operations. Holding control is a common solution for this situation, but it may result in longer vehicle running times. Speed adjustments can contribute to more regular operations while preventing prolonged trip times. This paper proposes a control strategy, which combines these two strategies to maintain the regularity of transit operations. The findings based on simulation study for trunk bus services in the Netherlands suggest that combining the two strategies implies both the positive and negative attributes of each control.","PeriodicalId":285883,"journal":{"name":"2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","volume":"255 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115670104","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":"Analysis and Prediction of Disruptions in Metro Networks","authors":"Menno Yap, O. Cats","doi":"10.1109/MTITS.2019.8883320","DOIUrl":"https://doi.org/10.1109/MTITS.2019.8883320","url":null,"abstract":"Public transport disruptions can result in major impacts for passengers and operator. Our study objective is to predict disruption exposure at different stations, incorporating their location-specific characteristics. Based on a 13-month incident database for the Washington metro network, we successfully develop a supervised learning model to predict the expected number of disruptions, per type, station and time of day. This supports public transport authorities and operators to prioritize what type of disruptions at what location to focus on, to potentially achieve the largest reduction in disruption exposure. Our clustering results show that start/terminal and transfer stations are most susceptible to disruptions, mainly due to operations- and vehicle-related disruptions.","PeriodicalId":285883,"journal":{"name":"2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124357698","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":"Calibrating Route Choice Sets for an Urban Public Transport Network using Smart Card Data","authors":"S. Shelat, O. Cats, N. V. Oort, J. V. Lint","doi":"10.1109/MTITS.2019.8883366","DOIUrl":"https://doi.org/10.1109/MTITS.2019.8883366","url":null,"abstract":"Identifying the set of alternatives from which travellers choose their routes is a crucial step in estimation and application of route choice models. These models are necessary for the prediction of network flows that are vital for the planning of public transport networks. However, choice set identification is typically difficult because while selected routes are observed, those considered are not. Approaches proposed in literature are not completely satisfactory, either lacking transferability across networks (observation-driven methods) or requiring strong assumptions regarding traveller behaviour (uncalibrated choice set generation methodologies (CSGM)). Therefore, this study proposes a constrained enumeration CSGM that applies the non-compensatory decision model, elimination-by-aspects, for choice set formation. Subjective assumptions of traveller preferences are avoided by calibrating the decision model using observed route choice behaviour from smart card data, which is becoming increasingly available in public transport systems around the world. The calibration procedure also returns two key insights regarding choice set formation behaviour: (i) the ranking of different attributes by their importance, and (ii) the acceptable detours for each attribute. To demonstrate the methodology and investigate choice set formation behaviour, the tram and bus networks of The Hague, Netherlands are used as a case study.","PeriodicalId":285883,"journal":{"name":"2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130924344","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":"Spatiotemporal Traffic Forecasting as a Video Prediction Problem","authors":"D. Pavlyuk","doi":"10.1109/MTITS.2019.8883353","DOIUrl":"https://doi.org/10.1109/MTITS.2019.8883353","url":null,"abstract":"In this paper we propose an idea of applying video prediction methodologies for urban traffic forecasting. We state that the spatiotemporal structure of traffic data is similar to the structure of video streams, therefore developed video prediction models could be utilized for urban traffic forecasting after some modifications. Recent advances in video prediction led to development of model architectures that deal with large data in video streams and effectively extract high-level spatiotemporal dependencies. Similar problems were addressed in modern studies of urban traffic forecasting. We discuss analogies between these two application areas and discover key issues that should be solved for successful merging of methodologies. These issues are related to different spatial structures (regular grids in video streams and graph-based data in traffic flows) and different extends of spatial non-stationarity (spatial convolution rules are normally constant over the frame for video processing but have natural spatial peculiarities for traffic flows). The proposed idea is illustrated by a developed model that is based on the video prediction methodology and applied for a real-world urban traffic data. The developed model architecture includes custom graph-based rules for spatiotemporal feature learning and the support vector machine as a predictor. Obtained empirical results demonstrate that the proposed model outperforms other state-of-the-art spatiotemporal models (regularized vector autoregressive models, autoregressive integrated moving average model with exogenous spatial predictors). We consider these results as a successful proof of concept and conclude that application of complex video prediction architectures will be beneficial for spatiotemporal urban traffic forecasting.","PeriodicalId":285883,"journal":{"name":"2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122899167","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":"Game theory and cooperative-competitive performances in real time traffic signal settings based on floating car data","authors":"V. Astarita, Vincenzo Pasquale Giofrè, G. Guido, A. Vitale","doi":"10.1109/MTITS.2019.8883321","DOIUrl":"https://doi.org/10.1109/MTITS.2019.8883321","url":null,"abstract":"The future of traffic control and management includes new technologies such as \"connected\" and \"autonomous\" vehicles. Connected vehicles will allow new traffic signal control systems that will be able to use information on vehicle positions (Floating Car Data, FCD). The use of FCD in traffic control systems can be beneficial by increasing sustainability of transportation in terms of fuel consumption reduction, reduced pollution and increased safety. However, not \"connected\" vehicles might not benefit or might even be damaged by the introduction of such systems. This paper intends to explore how an FCD-based adaptive traffic signal would impact different categories of vehicles in terms of cooperative-competitive performances. Game theory can be applied both in the implementation of algorithms and in assessing driver choices to participate in a cooperating and/or competitive signal regulation system, so a dedicated laboratory has been developed for testing the regulation algorithms and the interactions among drivers. The Nash bargaining equilibrium was used to implement a control algorithm which was tested with different percentages of \"connected\" vehicles. Some implementation challenges are discussed and new research directions outlined.","PeriodicalId":285883,"journal":{"name":"2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123128577","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":"Taking The Self-Driving Bus: A Passenger Choice Experiment","authors":"Konstanze Winter, Joost Wien, E. Molin, O. Cats, P. Morsink, B. Arem","doi":"10.1109/MTITS.2019.8883310","DOIUrl":"https://doi.org/10.1109/MTITS.2019.8883310","url":null,"abstract":"At the brink of the introduction of self-driving vehicles, only little is known about how potential users perceive them. This is especially true for self-driving vehicles deployed in public transport services. In this study, the relative preferences for a trip with a self-driving bus is assessed compared to a trip with a regular bus, based on a stated preference experiment. Based on the responses of 282 respondents from the Netherlands and Germany, a discrete choice model is estimated as a Mixed Logit model including attitudes towards trust in self-driving vehicles and interest in technology. The results show that currently public transport passengers prefer the self-driving bus over the regular bus only for short trips. This is due to the finding that the value of travel time is about twice as high for the self-driving bus as for the regular bus for a short commuting trip. Findings from this study further suggest that the popularity of self-driving busses decreases with the presence of a human steward on-board, or if they are operated as a demand-responsive service with fixed routes. People who currently show a strong interest in technology or trust in automated vehicle technology perceive the self-driving busses better than others. The trust-effect is especially strong for women. In general, men are found to be more inclined to choose the self-driving bus than women. Preferences towards automated public transport services are expected to evolve along with the transition from demonstration pilots to their deployment in regular operations.","PeriodicalId":285883,"journal":{"name":"2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122858576","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}