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International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
               Driver authentication systems, including OTP-based ride verification and biometric authentication, will be tested to
                prevent unauthorized access.
             5.  Scalability and Load Testing
               The app’s ability to handle a high number of concurrent users will be evaluated through stress testing to ensure stability
                under peak usage conditions.
               Server load balancing strategies will be assessed to ensure smooth operation even during high demand periods, such as
                late evenings or weekends.
               Geographic scalability tests will be conducted to verify the app’s performance across different locations and network
                conditions.
             6.  Comparison with Existing Solutions
               The performance of the proposed system will be benchmarked against existing





































                                                 Fig.3 Performance Evaluation
               ride-hailing services such as Uber, Safr, and Pink Cab to identify strengths and areas for further enhancement.
               Metrics such as average trip duration, incident response time, and passenger-reported safety scores will be compared to
                demonstrate improvements over current solutions.
             VI.    RESULT ANALYSIS                               The geofencing and route deviation alerts functioned
             The  result  analysis  of  the  proposed  women-only  cab   with high precision, triggering notifications within 5-10
             application with real-time tracking and parental monitoring   seconds of deviation detection, ensuring timely alerts
             will  be  conducted  based  on  key  performance  indicators   and swift responses.
             (KPIs) gathered from system testing, user feedback, and field     Ride authentication through OTP verification showed a
             trials.  The  analysis  aims  to  evaluate  the  application's   100%  success  rate,  ensuring  that  users  boarded  the
             effectiveness in ensuring women's safety, improving travel   assigned vehicle securely without unauthorized access.
             experiences, and providing peace of mind to parents and
             guardians.  The  results  will  be  categorized  into  several   2.  User Satisfaction Analysis
             aspects,  including  system  accuracy,  user  satisfaction,     Surveys  conducted  with  female  passengers  and  their
             emergency  response  effectiveness,  and  overall  system   guardians revealed a 90% satisfaction rate, with users
             performance.                                          expressing confidence in the app’s safety features and
                                                                   ease of use.
             1.  System Accuracy and Performance
               The real-time tracking feature demonstrated an average     Feedback indicated that the app's intuitive interface and
                accuracy of 95%, with minimal discrepancies in location   seamless ride-booking process significantly enhanced
                updates. The GPS tracking system effectively monitored   the  travel  experience  for  women,  with  85%  of
                ride  progress,  ensuring  continuous  connectivity  with   respondents  reporting  improved  confidence  in
                parental contacts.                                 commuting alone.



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