16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)最新文献

SIMPATO - the Safety Impact Assessment Tool of interactIVe SIMPATO -交互式安全影响评估工具

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2015-01-19 DOI: 10.1109/MITS.2014.2340054

M. Noort, T. Bakri, Felix Fahrenkrog, J. Dobberstein

引用次数: 12

Auction-based autonomous intersection management 基于拍卖的自主交叉口管理

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-12-01 DOI: 10.1109/ITSC.2013.6728285

D. Carlino, S. Boyles, P. Stone

引用次数: 209

Passenger route choice in case of disruptions 乘客在交通中断时的路线选择

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-12-01 DOI: 10.1109/ITSC.2013.6728370

P. Bouman, M. Schmidt, L. Kroon, A. Schöbel

引用次数: 2

Deduction of passengers' route choice from smart card data 从智能卡数据中扣除乘客的路线选择

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-12-01 DOI: 10.1109/ITSC.2013.6728329

E. V. D. Hurk, L. Kroon, G. Maróti, P. Vervest

引用次数: 10

Digital maps for railway applications based on OpenStreetMap data 基于OpenStreetMap数据的铁路应用数字地图

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-08 DOI: 10.1109/ITSC.2013.6728414

Christian Rahmig, A. Kluge

引用次数: 4

Towards application of automated planning in urban traffic control 自动化规划在城市交通控制中的应用研究

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-06 DOI: 10.1109/ITSC.2013.6728360

F. Jimoh, L. Chrpa, T. McCluskey, Shahin Shah

{"title":"Towards application of automated planning in urban traffic control","authors":"F. Jimoh, L. Chrpa, T. McCluskey, Shahin Shah","doi":"10.1109/ITSC.2013.6728360","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728360","url":null,"abstract":"Advanced urban traffic control systems are often based on feed-back algorithms. For instance, current traffic control systems often operate on the basis of adaptive green phases and flexible co-ordination in road (sub) networks based on measured traffic conditions. However, these approaches are still not very efficient during unforeseen situations such as road incidents when changes in traffic are requested in a short time interval. Therefore, we need self-managing systems that can plan and act effectively in order to restore an unexpected road traffic situations into the normal order. A significant step towards this is exploiting Automated Planning techniques which can reason about unforeseen situations in the road network and come up with plans (sequences of actions) achieving a desired traffic situation. In this paper, we introduce the problem of self-management of a road traffic network as a temporal planning problem in order to effectively navigate cars throughout a road network. We demonstrate the feasibility of such a concept and discuss our preliminary evaluation in order to identify strengths and weaknesses of our approach and point to some promising directions of future research.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"315 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116361620","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}

引用次数: 15

Optimal dynamic route guidance: A model predictive approach using the macroscopic fundamental diagram 最优动态路线引导:利用宏观基本图的模型预测方法

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-06 DOI: 10.1109/ITSC.2013.6728366

M. Hajiahmadi, V. Knoop, B. Schutter, H. Hellendoorn

{"title":"Optimal dynamic route guidance: A model predictive approach using the macroscopic fundamental diagram","authors":"M. Hajiahmadi, V. Knoop, B. Schutter, H. Hellendoorn","doi":"10.1109/ITSC.2013.6728366","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728366","url":null,"abstract":"Since centralized control of urban networks with detailed modeling approaches is computationally complex and inefficient, hierarchical decentralized methods based on aggregate models are of great importance. In this paper, we use an aggregate modeling approach based on the macroscopic fundamental diagram (MFD), in order to find dynamic optimal routing strategies. An urban area can be divided into homogeneous regions each modeled by a (set of) macroscopic fundamental diagrams. Thus, the problem of route guidance can be solved in a regional fashion by using model predictive control and the novel high-level MFD-based model used for prediction of traffic states in the urban network. The optimal routing advices obtained from the high-level controller can be used as references (to track) for lower-level local controllers installed at the borders of the regions. Hence, the complexity of solving the routing problem will be decreased significantly. The performance of the proposed approach is evaluated using a multi-origin multi-destination grid network. Further, the obtained results show significant performance of the optimal dynamic route guidance over other static routing methods.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124562879","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}

引用次数: 66

Dynamic representation of the fundamental diagram via Bayesian networks for estimating traffic flows from probe vehicle data 基于贝叶斯网络的基于探测车辆数据的交通流估计基本图的动态表示

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-06 DOI: 10.1109/ITSC.2013.6728501

T. Neumann, P. Bohnke, L. T. Tcheumadjeu

{"title":"Dynamic representation of the fundamental diagram via Bayesian networks for estimating traffic flows from probe vehicle data","authors":"T. Neumann, P. Bohnke, L. T. Tcheumadjeu","doi":"10.1109/ITSC.2013.6728501","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728501","url":null,"abstract":"Area-wide measurements of traffic flow are usually not possible with today's common sensor technologies. However, such information is essential for (urban) traffic planning and control. Hence, in order to support traffic managers, this paper analyses an approach for deriving traffic flows from probe vehicle speeds, which are potentially available with a wide spatial coverage. The idea is to apply the speed-flow function as known from macroscopic traffic flow theory. In this context, a stochastic representation of the fundamental diagram via Bayesian networks is proposed which also considers the temporal dependencies and transitions between the appearing traffic states. The paper describes the relevant theoretical concepts in comparison to the traditional approach of fitting deterministic curves to empirical speed-flow relations. Moreover, it analyses the findings of an extensive validation in context of traffic flow estimation via probe vehicle data using real traffic measurements provided by about 600 local detectors and about 4,300 taxi probes in Berlin, Germany.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126462017","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}

引用次数: 15

The effect of signal settings on the macroscopic fundamental diagram and its applicability in traffic signal driven perimeter control strategies 信号设置对宏观基本图的影响及其在交通信号驱动周界控制策略中的适用性

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-06 DOI: 10.1109/ITSC.2013.6728364

D. D. Jong, V. Knoop, S. Hoogendoorn

{"title":"The effect of signal settings on the macroscopic fundamental diagram and its applicability in traffic signal driven perimeter control strategies","authors":"D. D. Jong, V. Knoop, S. Hoogendoorn","doi":"10.1109/ITSC.2013.6728364","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728364","url":null,"abstract":"It has been proposed that a macroscopic fundamental diagram (MFD) can be used as input for perimeter control strategies. We consider a network consisting of a perimeter with traffic lights and a subnetwork without traffic lights. The MFDs for the two parts, i.e. the controlled subnetwork and its perimeter, are determined by means of microsimulation. We found that different signal settings change the shape of the MFD for both parts considerably. Also the ratio between the performance of the subnetwork and the corresponding perimeter is often fairly constant regardless of the signal timings. Thus, metering traffic heading towards the subnetwork is not always a good control strategy, as the performance of the subnetwork is eventually affected in the same way as the performance of the perimeter. Furthermore it has been found that the shape of the MFD of the perimeter, including the critical network density, strongly depends on the signal timings. It is therefore concluded that the MFD is difficult to use for control strategies aiming to adapt signal timings, because the changed signal timings themselves will result in a different value for the critical network density.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126856229","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}

引用次数: 15

Learning-based driving events classification 基于学习的驾驶事件分类

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-06 DOI: 10.1109/ITSC.2013.6728486

C. D'Agostino, A. Saidi, Gilles Scouarnec, Liming Chen

引用次数: 13