Visualizing large scale vehicle traffic network data a survey of the state-of-the-art

Analyzing and improving large urban traffic networks is a difficult process due to complex interrelationships between the many variables that impact vehicle traffic behavior. Information visualization techniques can facilitate the tasks of analyzing large amounts of data and of exploring potential solutions to practical traffic problems. Surprisingly, there is a relative lack of investigation focused on how information visualization techniques should be applied and adapted to the field of Traffic Engineering. This paper presents an overview of what has been done on this topic by reviewing the use of information visualization in traffic systems over the years, and highlighting the current state-of-the-art by focusing on several innovative pieces of research. We provide a classification of the reviewed work and identify areas that have been understudied.

[1]  Min-Der Lin,et al.  Noise mapping in urban environments: A Taiwan study , 2009 .

[2]  Stuart K. Card,et al.  Information Visualization , 1997, IEEE Computer Graphics and Applications.

[3]  Jun Yan,et al.  Kernel Density Estimation of traffic accidents in a network space , 2008, Comput. Environ. Urban Syst..

[4]  Tejas Talele Dynamic Ridesharing Using Social Media , 2012 .

[5]  Gabriel Svennerberg,et al.  Beginning Google Maps API 3 , 2010 .

[6]  Piyushimita Thakuriah,et al.  Urban Transportation Planning: A Decision-Oriented Approach , 2001 .

[7]  Jason Dykes,et al.  Visualizing the Dynamics of London's Bicycle-Hire Scheme , 2011, Cartogr. Int. J. Geogr. Inf. Geovisualization.

[8]  Graham Currie,et al.  Spatial and temporal visualization of transit operations performance data at a network level , 2012 .

[9]  Sangmin Oh,et al.  Augmenting Aerial Earth Maps with dynamic information , 2009, 2009 8th IEEE International Symposium on Mixed and Augmented Reality.

[10]  Kalidas Ashok,et al.  DYNAMIC ORIGIN-DESTINATION MATRIX ESTIMATION AND PREDICTION FOR REAL- TIME TRAFFIC MANAGEMENT SYSTEMS , 1993 .

[11]  Melik Kara,et al.  Development of a GIS-based decision support system for urban air quality management in the city of Istanbul , 2010 .

[12]  L. M. Frohn,et al.  Air pollution forecasting from regional to urban street scale––implementation and validation for two cities in Denmark , 2003 .

[13]  Jean-Claude Thill,et al.  Analysis of traffic hazard intensity: A spatial epidemiology case study of urban pedestrians , 2011, Comput. Environ. Urban Syst..

[14]  Andrzej Bargiela,et al.  A new framework for the integration, analysis and visualisation of urban traffic data within geographic information systems , 2000 .

[15]  Penousal Machado,et al.  Visualizing the circulatory problems of Lisbon , 2011, SIGGRAPH '11.

[16]  M. McNally THE FOUR-STEP MODEL. IN: HANDBOOK OF TRANSPORT MODELLING , 2000 .

[17]  Tolga Elbir A GIS based decision support system for estimation, visualization and analysis of air pollution for large Turkish cities , 2004 .

[18]  Humberto J. Longo,et al.  Simulation and analysis of urban traffic the architecture of a web-based interactive decision support system , 2009, 2009 12th International IEEE Conference on Intelligent Transportation Systems.

[19]  J. Dykes,et al.  Visualisation of Origins, Destinations and Flows with OD Maps , 2010 .

[20]  Paulo Henrique Trombetta Zannin,et al.  Characterization of environmental noise based on noise measurements, noise mapping and interviews: A case study at a university campus in Brazil , 2013 .

[21]  Bert Brunekreef,et al.  Modeling the intra-urban variability of outdoor traffic pollution in Oslo, Norway—A GA2LEN project , 2007 .

[23]  Michael G. McNally,et al.  The Four Step Model , 2007 .

[24]  Gregory Piatetsky-Shapiro,et al.  Advances in Knowledge Discovery and Data Mining , 2004, Lecture Notes in Computer Science.

[25]  Sergio A. Velastin,et al.  A Review of Computer Vision Techniques for the Analysis of Urban Traffic , 2011, IEEE Transactions on Intelligent Transportation Systems.

[26]  J. Dargay,et al.  Vehicle Ownership and Income Growth, Worldwide: 1960-2030 , 2007 .

[27]  Banihan Gunay Using Wavelet Transforms for Better Interpretation of Traffic Simulation , 2009 .

[28]  Giusy Di Lorenzo,et al.  LIVE Singapore! - An urban platform for real-time data to program the city , 2011 .

[29]  Fahui Wang,et al.  Urban land uses and traffic 'source-sink areas': Evidence from GPS-enabled taxi data in Shanghai , 2012 .

[30]  U. W. Tang,et al.  Influences of urban forms on traffic-induced noise and air pollution: Results from a modelling system , 2007, Environ. Model. Softw..

[31]  Yun-Pang Wang,et al.  Simulation of Urban Mobility , 2013, Lecture Notes in Computer Science.

[32]  Tomasz Imielinski,et al.  Database Mining: A Performance Perspective , 1993, IEEE Trans. Knowl. Data Eng..

[33]  Pichai Pamanikabud,et al.  Virtual visualization of traffic noise impact in geospatial platform , 2010, 2010 18th International Conference on Geoinformatics.

[34]  Michael Florian,et al.  Traffic Simulation with Dynameq , 2010 .

[35]  Ming C. Lin,et al.  Interactive hybrid simulation of large-scale traffic , 2011, ACM Trans. Graph..

[36]  Qingquan Li,et al.  Visualizing hot spot analysis result based on mashup , 2009, LBSN '09.

[37]  Michael Batty,et al.  The Pulse of the City , 2010 .

[38]  Minho Kim,et al.  Modeling of road traffic noise and estimated human exposure in Fulton County, Georgia, USA. , 2011, Environment international.

[39]  Denis Lalanne,et al.  Flowstrates: An Approach for Visual Exploration of Temporal Origin‐Destination Data , 2011, Comput. Graph. Forum.

[40]  J. Hellendoorn,et al.  Optimal routing for intelligent vehicle highway systems using a macroscopic traffic flow model , 2009, 2009 12th International IEEE Conference on Intelligent Transportation Systems.

[41]  Matei Ripeanu,et al.  Crowdsourcing for on-street smart parking , 2012, DIVANet@MSWiM.

[42]  Li Zhu,et al.  A GIS-based Bayesian approach for analyzing spatial–temporal patterns of intra-city motor vehicle crashes , 2007 .

[43]  Xinhao Wang,et al.  Integrating GIS, simulation models, and visualization in traffic impact analysis , 2005, Comput. Environ. Urban Syst..

[44]  Hans-Peter Kriegel,et al.  Visualization Techniques for Mining Large Databases: A Comparison , 1996, IEEE Trans. Knowl. Data Eng..

[45]  Chaomei Chen,et al.  Top 10 Unsolved Information Visualization Problems , 2005, IEEE Computer Graphics and Applications.

[46]  Jason Dykes,et al.  Using treemaps for variable selection in spatio-temporal visualisation , 2008, Inf. Vis..

[47]  Eugene Zhang,et al.  Interactive procedural street modeling , 2008, ACM Trans. Graph..

[48]  Jeremy Woolley,et al.  Integration of the global positioning system and geographical information systems for traffic congestion studies , 2000 .

[49]  David A. Hensher,et al.  Handbook of Transport Systems and Traffic Control , 2001 .

[50]  Bo Huang,et al.  GIS coupled with traffic simulation and optimization for incident response , 2007, Comput. Environ. Urban Syst..