Project Groups

ISSS608 Visual Analytics and Applications

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Visual Analytics Project

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Project Groups

Please change Your Team name to your project topic and change student name to your own name

Project Team	Project Title/Description	Project Artifacts	Project Member
Group 1: Team S-MALL	Understanding traffic patterns using network graph visualisations The project aims to illustrate the power of visual analytics in highlight patterns exhibited by vehicles when traversing through various traffic corridors. By linking the information captured in RFID tags when vehicles move through checkpoints, an interactive application is designed. This will help to unravel insights such as frequently travelled corridors, preferred routes amongst vehicles, traffic density, etc. The application will be primarily developed using R, and specifically the versatile ggraph package, which helps to develop powerful network visualisations. ggraph has been chosen as it is a recent release (Feb 2017), that exhibits the power of R and the ggplot architecture in incorporating network visualisations. Though ggplot tools have existed to visualise network patterns previously, the use of this package helps in making neater visualisations that help the user understand better. The motivation for this project stems from the traffic accumulation key problem found in most cities. Though the dataset pertains to a set of vehicles travelling through a wildlife preserve, the ideology can be applied to planning of roads and associated establishments. Urban planning needs to cater to robust planning of vehicle corridors to minimise disruptions in flow, and improve productivity. The interactive application helps the user understand linkages between various points in a predefined vicinity. The timestamp information of vehicle passages present in the data helps to understand various parameters such as traffic density, preferred corridors for vehicles and their speeds. The application devised here is also aimed to support the traffic authorities to identify what other alternative corridors might exist for reaching from Point A to point B. In addition, network measures such as the betweenness, the connectivity and closeness of various nodes, are also provided.	Proposal Report Application Poster	AAA BBB CCC

Team	Members
Group 1	GE BIN			LIM LIANG DANNY			RYAN CHIA
Group 2	Rachel Tong			Nurul Asyikeen Binte Azhar			Matilda Tan Ying Xuan
Group 3	CHEN ZHENGJIAN			XIAO ZHENYU			ZHENG MIANYI
Group 4	Yau Hon Tak			Deng Yuetong
Group 5	Wang Rui			Wu Yuqing			Xing Siyuan
Group 6	Wang Yizhou			Zhou Chen			Zhang Lidan
Group 7	Zhang Peng			Wang Shang
Group 8	Fam Guo Teng			Wang Yuchen			Xu Yanru
Group 10	Ma Xiaoliu			Deng Chunling			AISHWARYA MOHAN