How Experts Use Street View Imagery to Enhance Transportation Projects
Street view imagery, initially popular for letting internet users explore the world virtually through Google Earth, was actually created with a research-focused purpose.
Developed as a Stanford University project funded by Google, the goal was to capture city block images with the idea that the technology could serve both the public and professionals. The public could use it for virtual tourism and navigation, while professionals could leverage it for tasks like remote sensing, mapping, archaeological documentation, and more.
Fast-forward over 20 years, and those possibilities have become a reality. Today, the public uses street view imagery to navigate city streets and explore unfamiliar areas. Meanwhile, transportation professionals rely on it as a critical tool, providing detailed, ground-level perspectives that enhance planning, analysis, and decision-making for infrastructure projects.
Here are some of the main ways that street view imagery is used to make our streets better.
1. Infrastructure Assessment and Planning
Transportation planners utilize street view imagery to assess existing infrastructure conditions without the need for extensive field visits.
This saves researchers time and money as they evaluate amenities such as road quality, signage, and pedestrian infrastructure.
2. Enhancing Walkability and Bikeability Studies
Understanding the pedestrian and cyclist experience is crucial for promoting active transportation.
Traditional street view images, typically captured from vehicles, may not accurately represent these perspectives.
To address this, researchers have developed AI-based tools that translate car-centric views into pedestrian and cyclist perspectives, providing more accurate assessments of walkability and bikeability.
4. Public Engagement and Collaborative Mapping
Crowdsourced street view platforms like Mapillary empower communities to contribute geotagged photos, enhancing the imagery available to researchers.
This collaborative approach improves the data planners have access to, providing them with up-to-date information and fostering public engagement in urban development.
5. Historical Analysis and Temporal Comparisons
The integration of historical street view imagery allows experts to analyze changes in transportation infrastructure over time.
This capability is vital for evaluating the impact of past projects and planning future developments.
Google's expansion of Street View imagery across numerous countries enhances this potential, providing a richer dataset for comparing U.S. and international infrastructure.
6. Simulation and Modeling
Accurate simulations of traffic patterns and pedestrian flows are essential for effective transportation planning. And the creation of these models often starts with street view imagery.
The imagery provides detailed visuals of streets and infrastructure, which are processed using machine learning and GIS tools to identify key features like lane markings, crosswalks, and signage.
These features are integrated into traffic simulation software, where variables such as traffic volume and pedestrian behavior are added to create realistic models.
7. Enhancing Geographic Information Systems (GIS)
Integrating street view imagery into GIS platforms enriches spatial analyses by providing visuals that give experts context for what they’re looking at.
This integration supports a wide range of applications. For example, utility companies use street view to locate assets, plan maintenance routes, and visualize infrastructure for efficient repair and upgrades. While city planners leverage street view to inspect zoning compliance, identify redevelopment opportunities, and design safer, more accessible pedestrian spaces.
In conclusion, street view imagery is a versatile asset in transportation projects, offering detailed visual data that enhances planning, analysis, and public engagement.















