RiderScore

Enhancing Passenger Accountability in Autonomous Rideshare

Purpose: RiderScore evaluates passengers based on their behavior during rides, generates a score (0-100) that reflects their reliability, safety, and courtesy. Autonomous vehicle owners can use this score to offer discounts to high-scoring riders (or decline services to low-scoring riders), encouraging positive behavior and enhancing the ride experience.

Objective Scoring System

Metrics Tracked
1. Punctuality - Time from vehicle arrival to door being opened (> 5 minutes, deduct points) - Excessively canceled rides or fails to show up (deducts points)
2. Safety - 100% compliance to seatbelt usage during motion by in-vehicle sensors (deduct points for early removal)
3. Vehicle Cleanliness - Evaluates whether the rider keeps the vehicle clean and undamaged using AI image comparison and feedback
4. Luggage/Belongings Management - Leaving items behind, excessive wear caused by oversized/overweight articles, using AI image comparison and feedback
5. Rider Feedback Participation Encourages riders to provide constructive feedback about the ride
6. Bonus: Accurate Booking
- Passenger(s) match booked profile
- Occupancy matches booking (no overloading)
- Minimal mid-trip rerouting (10% extra mileage or <2 significant changes)

The Problem

Owner's FearsRider's ConcernsSafety GapsInefficiencies
Damage from spillsCleanlinessNo SeatbeltsLate pickups
Damage to doorsWrongly AccusedOverloadingAbusive Reroutes
Unavailable for Own UseScheduled ReliabilitySmoke-free EnvironmentUnpredictable Passengers

The Solution

OwnersRidersTeslaSociety
25% less maintenanceUp to 25% discounts. Badges like "Primo Passenger."More fleet vehicles, safer riders.Responsible shared mobility.

Join the RiderScore Movement