Rio de Janeiro
Rio de Janeiro is the second-largest capital in Brazil, with a population of approximately 6.7 million inhabitants, a public transport network of over 325 km, and a growing focus on data-driven mobility solutions to address congestion, emissions and climate resilience.
(AMBA)
Modal Share
Use
Pilots
Pilots
Pilots
City Identification
| Country | Brazil |
| City Type | Major City |
| Population (AMBA) | 6.7 Million |
| Partner Organisation | ITDP |
| Contact Person | Iuri Moura, Project Manager |
| Contact Email | iuri.moura@itdp.org |
| Tags | public transport Climate change Adaptation Transit data Datadrivenmobility |
Overview
The city of Rio de Janeiro is the second-largest capital in Brazil, with a population of approximately 6.7 million inhabitants. The city has a medium- and high-capacity public transport network extending over 325 kilometers, including metro, train, BRT, VLT and ferries. In recent years, the city has made significant progress in the use of data for planning and real-time monitoring of public transport services, creating opportunities to advance the digitalization and decarbonization of transport.
Mobility Challenges
Traffic Congestion
High levels of commuter traffic generate delays and increase operational costs across the metropolitan area.
Transport Emissions
The transport sector remains one of the largest contributors to greenhouse gas emissions in the city.
Urban Logistics
Freight movement and last-mile deliveries require more efficient and sustainable operational models.
Data Gaps
Limited integration of mobility datasets restricts evidence-based planning and policy development.
Governance & Coordination
Multiple stakeholders require stronger coordination mechanisms and shared digital tools.
Pilot Design
Improvement of Management and Information Systems for Public Transport Users, with a Focus on Extreme Weather Events
This pilot supports the improvement of public transport management and information systems in Rio de Janeiro, with a specific focus on raising operational efficiency and reducing the impact of extreme weather events on municipal bus service operations. Solutions are identified through the 8th COR Challenge, an annual hackathon organized by COR-Rio that engages startups through training, mentorship and incubation phases.
Pilot Description
This pilot supports the improvement of public transport management and information systems in Rio de Janeiro, with a focus on raising operational efficiency and reducing the impact of extreme weather events on municipal bus service operations. Solutions are identified through the 8th COR Challenge, an annual hackathon organized by COR-Rio that engages startups through training, mentorship and incubation phases.
Implementation Phases
Phase 1 – COR Challenge Design: Partner engagement, theme definition, regulations, data package preparation, participant selection.
Phase 2 – Immersion: Capacity building, mentoring, Pitch Day.
Phase 3 – Acceleration: MVP development, Demo Day.
Phase 4 – Incubation: Solution implementation, M&E, final report.
Phase 5 – Replication: Knowledge products, Action Plan.
ASI Strategy
IMPROVE
Improve operational efficiency through data-driven bus fleet management — digital solution to improve planning and real-time monitoring of bus services, supporting resilience during extreme weather events.
Digital Platforms & Tools
Expected Benefits
- Improved operational efficiency of bus services
- Improved fuel consumption efficiency
- Reduction of GHG and local pollutant emissions per passenger
- Reduction of extreme weather event impacts on bus operations
Strengthen monitoring of active mode movements by developing an algorithm to count pedestrians and cyclists using Rio de Janeiro's existing cameras in the Low Emission Zone
This pilot aims to improve data collection on active mobility by establishing a reliable Algorithmic Counting System (ACS) using the city’s existing cameras. It will generate evidence and data to support the municipality in planning, implementing and monitoring new active mobility infrastructure in Rio de Janeiro’s low emission zone.
Pilot Description
This pilot aims to improve data collection on active mobility, enabling a more accurate understanding of cyclist and pedestrian movement patterns. It establishes a reliable data collection system through an Algorithmic Counting System (ACS) using the city’s existing cameras, deployed in Rio de Janeiro’s low emission zone.
Implementation Phases
- Phase 1 – Planning: Work plan development, expert consultations, Terms of Reference preparation, selection of UFC/USP consortium.
- Phase 2 – Development: Location selection, contracts execution, methodology definition, monitoring framework.
- Phase 3 – Implementation: Tool deployment, accuracy testing, algorithm refinement, staff training, technical report.
- Phase 4 – Closing: Knowledge products and methodology dissemination.
ASI Strategy
IMPROVE
Strengthen municipal government’s monitoring of active transport modes through a pedestrian and cyclist counting system using municipal camera infrastructure, generating evidence to support planning and monitoring of new active mobility infrastructure
Digital Platforms & Tools
Expected Benefits
- Long-term reduction in GHG emissions and local air pollutants
- Improved allocation of resources for cycling and walking infrastructure based on evidence
- Modal shift from private cars and motorcycles to cycling and walking
Gender & Inclusion Approach
Women Participation
Gender-Sensitive Design
Gender-Disaggregated Data
Accessibility & Inclusion
Implementation Phases
- Environmental Indicators
- Operational Indicators
- Financial Indicators
- Social & Gender Indicators
- Policy & Governance Indicators
Policy Linkages
- City Master Plan
- Urban Mobility Plan
- Sustainable Development Plan