Route Safety Scoring for Ride-Sharing Pickups
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Solution Overview
Problem
Ride-sharing and transportation services lack the ability to determine safe pickup and drop-off locations and routes, especially in unfamiliar areas, as users have no way to assess safety factors like surveillance presence, ambient light, and crime rates.
Innovation Solution
A system that uses computing devices to generate safety scores for locations and routes based on factors such as surveillance cameras, ambient light, and crime rates, recommending the safest options to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If algorithm-based pickup locations and routes are determined using historical data, then transportation service efficiency is improved, but safety of riders and drivers cannot be assessed
Solution Approach 1:
The patent segments the route into multiple segments and evaluates safety factors for each segment individually. This allows the system to maintain algorithm-based route determination for efficiency while adding granular safety assessment capabilities, resolving the contradiction between productivity and reliability.
Solution Approach 2:
The patent introduces safety scores as an intermediary metric that bridges the gap between algorithm-based route determination and safety assessment. The safety score, calculated from various safety factors, serves as a mediator that enables both efficient routing and reliable safety evaluation simultaneously.
2Measurement precision
If multiple safety factors are evaluated for each location and route segment, then safety assessment accuracy is improved, but system complexity increases
Solution Approach 1:
The system obtains safety factor data from various sources that self-provide the information needed. For example, crime data is obtained from public sources, surveillance camera presence is detected through image analysis, and ambient light data is collected from sensors. This self-service approach reduces system complexity while maintaining high measurement precision.
Solution Approach 2:
The patent transforms multiple qualitative safety factors into a quantitative safety score parameter. By converting diverse safety factors (crime rates, surveillance presence, ambient light) into a unified numerical score, the system achieves accurate safety assessment without proportionally increasing complexity, as the scoring framework provides a standardized evaluation method.
Data Source
AI summary
Systems and methods are provided for receiving location data for a first location and a second location and generating a plurality of candidate routes to travel from the first location to the second location, based on the location data, each candidate route comprising a plurality of segments. The systems and methods further generate a safety score for each segment of each candidate route of the plurality of candidate routes, generate a safety score for each candidate route based on safety scores generated for each segment associated with each candidate route, select a best candidate route using the safety score associated with each of the candidate routes, and provide a recommendation for a travel route comprising the best candidate route.