Unveiling Urban Mobility Patterns: A Data-Driven Analysis of Public Transit-Reference-Cited by-同舟云学术

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Unveiling Urban Mobility Patterns: A Data-Driven Analysis of Public Transit

Published:2024-05-15 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Control, Automation and Diagnosis (ICCAD)
language:
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Author:

Yusuf Oluwaleke¹,Rasheed Adil¹,Lindseth Frank²,Slaastuen Martin³

Affiliation:

1. Norwegian University of Science and Technology,Department of Engineering Cybernetics,Trondheim,Norway,7034

2. Norwegian University of Science and Technology,Department of Computer Science,Trondheim,Norway,7034

3. Market Insight AtB AS,Trondheim,Norway,7011

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10553373/10553653/10553660.pdf?arnumber=10553660

Reference10 articles.

1. Measuring risk of missing transfers in public transit systems using high-resolution schedule and real-time bus location data

2. Identifying primary public transit corridors using multi-source big transit data

3. Realizable accessibility: evaluating the reliability of public transit accessibility using high-resolution real-time data

4. Assessing public transit performance using real-time data: spatiotemporal patterns of bus operation delays in Columbus, Ohio, USA

5. Resilience Analysis of Traffic Network under Emergencies: A Case Study of Bus Transit Network

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