Interactive visualization platform for vehicular movement within 1 km² of MonterreyOriginal title: Plataforma de visualización interactiva de movimiento vehicular en un km² de Monterrey
Original title: Plataforma de visualización interactiva de movimiento vehicular en un km² de Monterrey
- ,
- Linnaeus University,
- Massachusetts Institute of Technology,
- Universidad de Monterre,
- Universidad de Monterrey,
Student Thesis:
Student thesis
Thesis
Urban mobility in Monterrey faces major challenges that negatively impact residents’ quality of life, particularly severe traffic congestion, a reduced public transport fleet, and unbalanced urban expansion. Over time, Monterrey has ranked among the most congested cities worldwide, with commuters losing substantial hours annually due to delays. At the same time, the decline in the number of buses has increased reliance on private vehicles, worsening congestion and environmental pollution. Disordered urban growth has also expanded the city into vulnerable areas, intensifying flood risk and disrupting mobility during heavy rainfall, highlighting the need for more effective urban planning.
Despite the availability of urban planning tools, many are complex to configure and operate, requiring advanced expertise in GIS, transit data standards (e.g., GTFS), and specialized software. This complexity restricts meaningful participation to a small group of technical stakeholders and often limits citizen involvement in decision-making. To address this gap, this thesis proposes the development of an intuitive, interactive, and collaborative visualization platform to support mobility analysis and scenario-based evaluation.
The project focuses on building an interactive platform to visualize and analyze vehicular movement from a fleet of delivery trucks transporting bottled water and beverages within a representative one-square-kilometer area of Monterrey. The platform processes mobility data and integrates thematic maps and interactive graphics to identify patterns of congestion, vehicle flow, and stopping behavior. It also enables traffic scenario simulations under different conditions to compare route alternatives and stopping locations, supporting data-driven recommendations. Finally, the system produces a dashboard of key metrics and reports—including total and average distance traveled, time-related indicators, and estimated CO₂ emissions—to communicate findings and facilitate informed decision-making in urban mobility and planning.
Despite the availability of urban planning tools, many are complex to configure and operate, requiring advanced expertise in GIS, transit data standards (e.g., GTFS), and specialized software. This complexity restricts meaningful participation to a small group of technical stakeholders and often limits citizen involvement in decision-making. To address this gap, this thesis proposes the development of an intuitive, interactive, and collaborative visualization platform to support mobility analysis and scenario-based evaluation.
The project focuses on building an interactive platform to visualize and analyze vehicular movement from a fleet of delivery trucks transporting bottled water and beverages within a representative one-square-kilometer area of Monterrey. The platform processes mobility data and integrates thematic maps and interactive graphics to identify patterns of congestion, vehicle flow, and stopping behavior. It also enables traffic scenario simulations under different conditions to compare route alternatives and stopping locations, supporting data-driven recommendations. Finally, the system produces a dashboard of key metrics and reports—including total and average distance traveled, time-related indicators, and estimated CO₂ emissions—to communicate findings and facilitate informed decision-making in urban mobility and planning.
Thesis Information
Thesis Award Date
05/2025Qualification Level
ThesisOriginal Language
SpanishThesis Managed By
Supervisors
Raúl Morales Salcedo (Asesor), Vicerrectoría Académica
