Intra-City Traffic Data Visualization: A Systematic Literature Review

被引:9
作者
Clarinval, Antoine [1 ]
Dumas, Bruno [1 ]
机构
[1] Univ Namur, Namur Digital Inst NaDI, B-5000 Namur, Belgium
关键词
Intra-city traffic; traffic data; visualization; survey; systematic literature review; VISUAL ANALYTICS APPROACH; MOBILITY PATTERNS; TRAJECTORY DATA; EXPLORATION; MOVEMENT; TIME; INFORMATION; CONGESTION; DYNAMICS; AGGREGATION;
D O I
10.1109/TITS.2021.3092036
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The increasing proportion of people living in urban areas causes well-known mobility issues such as pollution and congested roads. In addition to their heavy environmental impact, these issues negatively affect citizens' quality of life. Emerging technologies allow gathering huge amounts of data regarding traffic which can in turn be analyzed to diagnose mobility issues and propose solutions. Information visualization is increasingly leveraged as a medium to make the most out of this traffic data. In this paper, we present the systematic literature review we conducted to analyze the existing research in intra-city traffic data visualization. Following a well-defined and rigorous protocol, we have made a selection of 146 relevant works which we analyzed in depth under multiple perspectives: the data used, the domain problems, the visualization techniques and interaction, and the target end-user. We were able to identify common practices such as the most used visualization techniques and the problems tackled the most often. This allowed us to uncover little explored research directions and to suggest avenues for innovative research. In particular, we noted a lack of visualizations engaging citizens in the reflection on mobility-related issues and a lack of consideration for user studies.
引用
收藏
页码:6298 / 6315
页数:18
相关论文
共 211 条
[1]   QuteVis: Visually Studying Transportation Patterns Using Multisketch Query of Joint Traffic Situations [J].
AL-Dohuki, Shamal ;
Zhao, Ye ;
Kamw, Farah ;
Yang, Jing ;
Ye, Xinyue ;
Chen, Wei .
IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2021, 41 (02) :35-47
[2]  
Al-Dohuki S, 2019, IEEE INT C INTELL TR, P150, DOI 10.1109/ITSC.2019.8917058
[3]   SemanticTraj: A New Approach to Interacting with Massive Taxi Trajectories [J].
Al-Dohuki, Shamal ;
Kamw, Farah ;
Zhao, Ye ;
Ma, Chao ;
Wu, Yingyu ;
Yang, Jing ;
Ye, Xinyue ;
Wang, Fei ;
Li, Xin ;
Chen, Wei .
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2017, 23 (01) :11-20
[4]  
Alessandroni G., 2014, P INT C MOB UB COMMP, P210, DOI DOI 10.13140/RG.2.1.3124.2726
[5]  
Andre A.D., 1995, Ergonomics in Design, V3, P10, DOI [10.1177/106480469500300403, DOI 10.1177/106480469500300403]
[6]  
Andrienko G., 2011, 2011 IEEE Conference on Visual Analytics Science and Technology, P161, DOI 10.1109/VAST.2011.6102454
[7]  
Andrienko Gennady, 2009, Proceedings of the 2009 IEEE Symposium on Visual Analytics Science and Technology. VAST 2009. Held co-jointly with VisWeek 2009, P3, DOI 10.1109/VAST.2009.5332584
[8]  
Andrienko G., 2011, P INT COMP AID ENG I
[9]  
Andrienko G., 2014, Cartography from Pole to Pole-Lecture Notes in Geoinformation and Cartography, P157
[10]   Visual Analytics of Mobility and Transportation: State of the Art and Further Research Directions [J].
Andrienko, Gennady ;
Andrienko, Natalia ;
Chen, Wei ;
Maciejewski, Ross ;
Zhao, Ye .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 18 (08) :2232-2249