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GeoAI for Urban Mobility: Trajectory Computing and Travel Behavior Modeling

Self-funded 🎓 Civil Engineering 🎓 Computer Science gis urban mobility geoai trajectory computing travel behavior modeling spatial analytics transportation optimization

Explore GeoAI applications to urban transportation challenges. Develop expertise in trajectory analysis, travel behavior simulation, and optimizing city mobility systems with AI and spatial data.

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Why This Research Matters

This research addresses critical urban transportation issues amid rapid urbanization. By leveraging AI and geospatial technologies, it offers innovative solutions that improve urban planning, reduce congestion, and enhance sustainability and accessibility in cities.

Trajectory Data Mining Route Recommendatin Urban Mobility

Project Description

Project Overview

This research opportunity focuses on GeoAI for urban mobility, a cutting-edge field that combines geospatial artificial intelligence with urban transportation systems. The project targets critical challenges in analyzing trajectories, modeling travel behaviors, and optimizing urban mobility networks to enhance efficiency and accessibility in growing cities.

What You Will Do

You will join a dynamic research group at the University of New Brunswick engaged in interdisciplinary work spanning GIS, computer science, civil engineering, and AI. Your research tasks include trajectory computing and analysis, simulation of travel behavior, and optimization of urban mobility systems, aiming to support smarter urban planning and reduce congestion.

Expected Outcomes

The research will yield innovative solutions and methodologies that can be applied to real-world urban transportation challenges. Results will inform policymakers and planners for creating sustainable and accessible city environments, improving quality of life through better mobility management and use of GeoAI.

Why This Matters

With rapid urbanization and evolving transportation needs, applying AI to spatial analytics is crucial for addressing urban mobility issues. This project will contribute to building smarter cities through improved planning and optimized mobility systems, resulting in environmental, economic, and societal benefits.

Entry Requirements

Strong background in GIS, computer science, civil engineering, or related discipline; proficiency in programming and computational methods; interest in urban mobility and GeoAI; analytical and problem-solving skills; prior experience in geospatial analytics, transportation modeling, or urban planning encouraged.

How to Apply

Prepare a Curriculum Vitae, academic transcripts, and a brief statement of research interests. Submit applications as instructed in the original advertisement on the LinkedIn post.

Eligibility

UK/Home
EU
International

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