Visual Exploration of Urban Road Network Traffic Based on Reconstructed Trajectory Data
ID:2012 View Protection:ATTENDEE Updated Time:2021-12-03 14:44:44 Hits:270 Poster Presentation

Start Time:2021-12-17 09:01(Asia/Shanghai)

Duration:1min

Session:P2 Poster2021 » P2T3Track 3 Transportation Planning and Policy

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Abstract
There are a lot of Automotive Vehicle Identification (AVI) devices in urban traffic environment in some Chinese cities. Vehicles will leave a series of timestep-location records when travelling through the road network, which is a valuable data source for macroscopic traffic supply-demand analysis. A method using the AVI data based on the Arcgis platform to reconstruct vehicles’ trajectory is proposed in this study, which can obtain nearly full sample of vehicles’ reconstructed trajectories in the road network with devices. The macroscopic features of traffic demand are explored based on the reconstructed trajectory data. Through visual analysis, the distribution of traffic OD demand, traffic volume and spatial-temporal changes are obtained. And the relationship between traffic supply and demand is evaluated from the macroscopic view.
Keywords
CICTP
Speaker
Chengyuan Ma
ShenZhen Genvict Technologies Co., Ltd.

Submission Author
Chengyuan Ma ShenZhen Genvict Technologies Co., Ltd.
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  • Conference Date

    Dec 17

    2021

    to

    Dec 20

    2021

  • Dec 16 2021

    Contribution Submission Deadline

  • Dec 24 2021

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Chinese Overseas Transportation Association
Chang'an University
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