Visual Analysis of Multiple Route Choices based on General GPS Trajectories

Visual Analysis of Multiple Route Choices based on General GPS Trajectories

ABSTRACT:

There are often multiple routes between regions. Drivers choose different routes with different considerations. Such considerations, have always been a point of interest in the transportation area. Studies of route choice behaviour are usually based on small range experiments with a group of volunteers. However, the experiment data is quite limited in its spatial and temporal scale as well as the practical reliability. In this work, we explore the possibility of studying route choice behaviour based on general trajectory data-set, which is more realistic in a wider scale. We develop a visual analytic system to help users handle the large-scale trajectory data, compare different route choices, and explore the underlying reasons. Specifically, the system consists of: 1. the interactive trajectory filtering which supports graphical trajectory query; 2. the spatial view which gives an overview of all feasible routes extracted from filtered trajectories; 3. the factor visualizations which provide the exploration and hypothesis construction of different factors’ impact on route choice behaviour, and the verification with an integrated route choice model. Applying to real taxi GPS dataset, we report the system’s performance and demonstrate its effectiveness with three cases.

PROJECT OUTPUT VIDEO: (Click the below link to see the project output video):

EXISTING SYSTEM:

Studies of route choice behavior are usually based on small range experiments with a group of volunteers. However, the experiment data is quite limited in its spatial and temporal scale as well as the practical reliability.

DISADVANTAGES OF EXISTING SYSTEM:

  • Route choice behavior are usually based on small range experiments
  • Data is quite limited in its spatial

PROPOSED SYSTEM:

  • we propose a visual analytics system which leverages human interaction and judgment in the trajectory data mining process to tackle the above challenges: with a suite of graphical filters, trajectories between regions of interest are queried interactively; based on filtered trajectories, feasible routes are constructed automatically; with a list of factors derived from general GPS trajectory data, route choice distributions over those factors are visualized, which supports to explore and raise hypotheses on potential influence; then the hypotheses are further verified by the statistical model to draw reliable conclusions
  • The Visual analytics is proposed as the science of analytical reasoning facilitated by interactive visual interfaces. By integrating computational and theory-based tools with innovative interactive techniques and visual representations, visual analytics enables human to participate in problem solving. In this work, from the perspective of visual analytics, we propose a visual analytics system which leverages human interaction and judgment in the trajectory data mining process to tackle the above challenges: with a suite of graphical filters, trajectories between regions of interest are queried interactively; based on filtered trajectories, feasible routes are constructed automatically; with a list of factors derived from general GPS trajectory data, route choice distributions over those factors are visualized, which supports to explore and raise hypotheses on potential influence; then the hypotheses are further verified by the statistical model to draw reliable conclusions

ADVANTAGES OF PROPOSED SYSTEM:

  • We explore the possibility of analyzing multiple route choice behavior based on general GPS data.
  • We develop a visual analytic system to explore the route choice behavior with real GPS data.

SYSTEM ARCHITECTURE:

SYSTEM REQUIREMENTS:

HARDWARE REQUIREMENTS: 

  • System : Pentium Dual Core.
  • Hard Disk : 120 GB.
  • Monitor : 15’’ LED
  • Input Devices : Keyboard, Mouse
  • Ram :         1 GB

SOFTWARE REQUIREMENTS: 

  • Operating system : Windows 7.
  • Coding Language : JAVA/J2EE
  • Tool : Netbeans 7.2.1
  • Database : MYSQL

REFERENCE:

Min Lu, Chufan Lai, Tangzhi Ye, Jie Liang, Member, IEEE, and Xiaoru Yuan, Senior Member, IEEE, “Visual Analysis of Multiple Route Choices based on General GPS Trajectories”, IEEE TRANSACTIONS ON BIG DATA, 2017

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