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A fast semi-analytic algorithm for computing solutions associated with multiple moving or fixed bottlenecks: Application to joint scheduling and signal timing [article]

Michele D. Simoni, Christian G. Claudel
2017 arXiv   pre-print
Moving and fixed bottlenecks are moving or fixed capacity restrictions that affect the propagation of traffic flow.  ...  However, the computation of solutions associated with the presence of fixed and moving bottlenecks is complex, since they both influence and are influenced by traffic.  ...  First, the trajectory of moving bottleneck A and its impact on traffic are computed till it intersects the domain of influence of moving bottleneck B (Figure 3a) , indicated by the green lines (Phase  ... 
arXiv:1701.01026v1 fatcat:avk2jl2hqfhmbd5iyde2tf2ieu

Discovering Semantic Mobility Pattern from Check-in Data [chapter]

Ji Yuan, Xudong Liu, Richong Zhang, Hailong Sun, Xiaohui Guo, Yanghao Wang
2014 Lecture Notes in Computer Science  
In this paper, we propose an incremental algorithm to solve this problem, while maintaining the evolution of the patterns as well as the membership of the moving objects to their patterns.  ...  Mobile location tracking becomes ubiquitous in many applications, which raises great interests in trajectory data analysis and mining.  ...  We propose an algorithm to incrementally maintain each micro-group (since all the moving objects update their sub-trajectories, some moving object may leave or join a micro-group) and to capture its evolution  ... 
doi:10.1007/978-3-319-11749-2_35 fatcat:xli7nwgitjbbzibbgvo7e5jujm

Discovering frequent mobility patterns on moving object data

Ticiana L. Coelho da Silva, José A. F. de Macêdo, Marco A. Casanova
2014 Proceedings of the Third ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems - MobiGIS '14  
The results suggest that evolution patterns and their frequency can be effectively obtained through the proposed Tec obtained from moving object data.  ...  In this sense, we developed a method that performs density based clustering on trajectory data at regular time intervals, then we analyze clusters evolution, which is characterized by appear, disappear  ...  The results suggest that evolution patterns and their frequency can be effectively obtained through the proposed Tree Evolution Cluster from moving object data.  ... 
doi:10.1145/2675316.2675325 dblp:conf/gis/SilvaMC14 fatcat:vs5icmcs45g73ggi5hgaso73fq

A Clustering Scheme for Discovering Congested Routes on Road Networks

He Li, Kyoung Soo Bok, Jong Tae Lim, Byoung Yup Lee, Jae Soo Yoo
2015 Journal of Electrical Engineering and Technology  
On road networks, the clustering of moving objects is important for traffic monitoring and routes recommendation.  ...  Second, the congested road segments are detected through analyzing the trajectories of moving objects on the road network.  ...  Acknowledgements This research was financially supported by the Ministry of Education(MOE) and National Research Foundation of Korea(NRF) through the Human Resource Training Project for Regional Innovation  ... 
doi:10.5370/jeet.2015.10.4.1836 fatcat:47ise42e6rfsfj3k42ynebr7yy

Visual Analytics of Mobility and Transportation: State of the Art and Further Research Directions

Gennady Andrienko, Natalia Andrienko, Wei Chen, Ross Maciejewski, Ye Zhao
2017 IEEE transactions on intelligent transportation systems (Print)  
However, the transportation domain is characterized by both complex data and complex problems, which calls for visual analytics approaches.  ...  The science of visual analytics is continuing to develop principles, methods, and tools to enable synergistic work between humans and computers through interactive visual interfaces.  ...  Schumann (University of Rostock, Germany), and P. Jankowski (San Diego State University, USA). We are also thankful to anonymous reviewers for constructive critiques and helpful suggestions.  ... 
doi:10.1109/tits.2017.2683539 fatcat:ie3er7ersncyhppoqejegejjfi

Discovering Congested Routes Using Vehicle Trajectories in Road Networks

Kyoung Soo Bok, He Li, Jong Tae Lim, Jae Soo Yoo
2015 Advances in Multimedia  
And then, the congested road segment is detected through the saturation degree of the road segment and the average moving speed of vehicles in the road segment.  ...  Furthermore, the existing schemes fail to consider the average moving speed of vehicles. Therefore, they can detect the incorrect density routes.  ...  Instead of clustering the moving objects, road segments are clustered based on the density of common traffic they share.  ... 
doi:10.1155/2015/420689 fatcat:jiakrpfvpjc2tn6oqm6huqzpba

Automatic Traffic Abnormality Detection in Traffic Scenes: An Overview

Xiangyang Liu, Mingyu Nie, Shuming Jiang, Zhiqiang Wei, Fengjiao Li
2017 DEStech Transactions on Engineering and Technology Research  
In this paper, we introduced automatic traffic abnormality detection methods based on trajectory analysis, based on optical flow, based on image visual features descriptor and contrasted their advantages  ...  In recent years, with the continuous improvement of the computer's ability of data processing, and the rapid development of image processing and pattern recognition technology, the traffic information  ...  ZR2014YL010), and the Shandong Science and Technology Development Program China (No. 2014GSF120018).  ... 
doi:10.12783/dtetr/ismii2017/16639 fatcat:s5n256b77rfi3aqi3v7nonuigq

Big Trajectory Data Mining: A Survey of Methods, Applications, and Services

Di Wang, Tomio Miwa, Takayuki Morikawa
2020 Sensors  
In this paper, we first discuss the relationships among the prevailing trajectory mining methods and then, classify the applications of trajectory data into three major groups: social dynamics, traffic  ...  The increasingly wide usage of smart infrastructure and location-aware terminals has helped increase the availability of trajectory data with rich spatiotemporal information.  ...  Characterizing places and moving objects are significant in this domain.  ... 
doi:10.3390/s20164571 pmid:32824028 pmcid:PMC7472055 fatcat:bgav5exs3nejhp42bbakf3ftp4

A Survey on Clustering Techniques for Situation Awareness [chapter]

Stefan Mitsch, Andreas Müller, Werner Retschitzegger, Andrea Salfinger, Wieland Schwinger
2013 Lecture Notes in Computer Science  
and space.  ...  ., needed in traffic control centers, in order to reduce the massive information overload.  ...  Techniques for trajectory clustering (i. e., grouping similar trajectories) deal with the evolution of objects that move along these trajectories (OE).  ... 
doi:10.1007/978-3-642-37401-2_78 fatcat:tfmlewybbjgmpak6wxijo2ck74

Trajectory data mining: A review of methods and applications

Jean Damascène Mazimpaka, Sabine Timpf
2016 Journal of Spatial Information Science  
Then, we discuss and classify application problems that were solved using trajectory data and relate them to the generic mining methods that were used and real world applications based on them.  ...  In this paper, we first discuss generic methods of trajectory mining and the relationships between them.  ...  In order to predict traffic congestion, they compare the predicted traffic density and the capacity of the road segments, which they determine based on the historical traffic density and speed readings  ... 
doi:10.5311/josis.2016.13.263 fatcat:cuxgsxpslfeunehzawbgctu4r4

Vehicle Trajectory Discovery for Vehicular Wireless Networks

Jeong-Sig Kim, Jin-Hong Kim
2014 International Journal of Smart Home  
object interactions, which could help in deriving trajectory patterns.  ...  This paper introduces vehicle trajectory discovery for vehicular wireless networks.  ...  Also, this research was financially supported by Gyeonggi College of Science and Technology.  ... 
doi:10.14257/ijsh.2014.8.1.17 fatcat:mezt4ylu5bgxzarbblzx5ffbmy

Long-term cellular cargo tracking reveals intricate trafficking through active cytoskeletal networks [article]

Jin-Sung Park, Il-Buem Lee, Hyeon-Min Moon, Seok-Cheol Hong, Minhaeng Cho
2022 bioRxiv   pre-print
Cargos experience a traffic jam, but they have an effective strategy to circumvent it: moving together in tandem or migrating collectively.  ...  Our label-free, cargo-tracing method revealed not only dynamic cargo transportation but also the fine architecture of the actively used cytoskeletal highways and the long-term evolution of the associated  ...  The trajectory of an f-PS bead drawn by its fluorescence is overlaid by a white line drawn on the traffic density map and well-matched with the main traffic route identified in iSCAT imaging (Extended  ... 
doi:10.1101/2022.03.23.485568 fatcat:3btkscnxkbbhndgjduhdz6ifuu

Towards Scalable Distributed Framework for Urban Congestion Traffic Patterns Warehousing

A. Boulmakoul, L. Karim, M. Mandar, A. Idri, A. Daissaoui
2015 Applied Computational Intelligence and Soft Computing  
We put forward architecture of a framework for integration of data from moving objects related to urban transportation network.  ...  The challenge of the proposed solution is to store patterns of traffic, which aims to ensure the surveillance and intelligent real-time control network to reduce congestion and avoid its consequences.  ...  The Unified Moving Object Trajectories' Metamodel [27] describes a general metamodel that could be used by different application domains; it can also use an object approach and integrates previous trajectories  ... 
doi:10.1155/2015/578601 fatcat:szjgq75barbujlcg6l7b6z3y7e

Trajectory data analysis using complex networks

Igo Ramalho Brilhante, Jose Antonio Fernandes de Macedo, Chiara Renso, Marco Antonio Casanova
2011 Proceedings of the 15th Symposium on International Database Engineering & Applications - IDEAS '11  
A massive amount of data on moving object trajectories is available today.  ...  However, it is still a major challenge to process such information in order to explain moving object interactions, which could help in revealing non-trivial behavioral patterns.  ...  Section 5 draws conclusions and future work. BASIC CONCEPTS AND RELATED WORK Basic Definitions A trajectory can be defined as the spatio-temporal evolution of a moving object [15] .  ... 
doi:10.1145/2076623.2076627 dblp:conf/ideas/BrilhanteMRC11 fatcat:65khga3anbczzaicbcakq3gl5y

Time-focused clustering of trajectories of moving objects

Mirco Nanni, Dino Pedreschi
2006 Journal of Intelligent Information Systems  
This phenomenon is due to the daily collection of transaction data through database systems, network traffic controllers, web servers, sensor networks.  ...  In particular, we propose an adaptation of a density-based clustering algorithm to trajectory data based on a simple notion of distance between trajectories.  ...  Acknowledgements The authors are grateful to the members of the Pisa KDD Lab that helped to tune and test the prototypes, and in particular to Andrea Mazzoni and Simone Puntoni for their great help in  ... 
doi:10.1007/s10844-006-9953-7 fatcat:ecqpps5f6rbgxfzbnr6dnonczq
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