CARTO > Case Studies > Enhancing Urban Mobility in Madrid through Crowdsourced Traffic Data

Enhancing Urban Mobility in Madrid through Crowdsourced Traffic Data

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Applicable Industries
  • Automotive
  • Cities & Municipalities
Use Cases
  • Smart City Operations
  • Traffic Monitoring
About The Customer
The primary customers in this case are the citizens and drivers of Madrid. These individuals face daily challenges related to traffic congestion and mobility within the city. With half a million cars entering and exiting Madrid each day, these individuals need accurate, real-time traffic information to plan their commutes effectively. The partnership between Waze, CARTO, and the city of Madrid aimed to provide this information, leveraging crowd-sourced data from Waze and the location intelligence capabilities of CARTO to improve traffic management and enhance overall mobility within the city.
The Challenge
The city of Madrid, like many other major cities worldwide, grapples with the challenge of traffic congestion. With half a million cars entering and exiting the city daily, managing traffic flow and reducing congestion is a significant issue. Waze, a crowd-sourced navigation and traffic app with over 100 million active users globally, sought to address this problem. However, while Waze had access to a wealth of user-generated data, it needed a way to connect with governmental organizations and municipalities to leverage this data effectively. The challenge was to transform the raw, open data into actionable intelligence that could be used to improve traffic management and provide citizens with accurate, real-time traffic information to plan their daily commutes.
The Solution
To address this challenge, Waze partnered with CARTO, a location intelligence organization. CARTO served as the intermediary, connecting Waze with the city of Madrid and other relevant organizations. More than just a middleman, CARTO played an active role in the partnership, helping to translate the open data from Waze into actionable intelligence. This intelligence was then used to predict traffic patterns and provide citizens with the information they needed to plan their daily routes effectively. The partnership was seen as a B2B to C model, connecting businesses with each other and ultimately benefiting the end customer - the citizens and drivers of Madrid. The alliance between Waze, CARTO, and the city of Madrid aimed to support the city's major stakeholders and improve the overall mobility within the city.
Operational Impact
  • The operational results of the partnership between Waze, CARTO, and the city of Madrid are primarily qualitative. By leveraging the crowd-sourced data from Waze and the location intelligence capabilities of CARTO, the city of Madrid was able to improve its traffic management and provide its citizens with accurate, real-time traffic information. This not only helped to reduce traffic congestion but also improved overall mobility within the city. Furthermore, the partnership facilitated better communication and data exchange between Waze, the city of Madrid, and other relevant organizations, fostering a long-term partnership that promises to continue delivering benefits in the future.

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