Mobile Terminal Carsharing Schedule Display Control
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Solution Overview
Problem
Current transportation systems lack efficient methods for matching passengers with drivers based on preferred conditions and optimizing routes for maximum revenue, leading to suboptimal use of vehicles and increased costs for both passengers and drivers.
Innovation Solution
A control method and mobile terminal system that allows drivers to set passenger conditions, such as sex, age, and nationality, and provides real-time guidance on regions with high demand, using big data to optimize vehicle deployment and passenger matching, while also enabling carsharing schedules and authentication processes for secure boarding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If drivers can set passenger conditions and the system provides selective transmission of reservation requests, then passenger-driver matching efficiency is improved, but device complexity increases
Solution Approach 1:
The system segments the passenger pool by categorizing passengers according to multiple conditions (age, gender, nationality, etc.) and segments driver preferences into specific condition sets. This segmentation enables efficient matching by dividing the large search space into manageable categories, improving matching efficiency without requiring complex algorithms to evaluate all possible combinations.
Solution Approach 2:
Drivers pre-set their preferred passenger conditions before receiving reservation requests. The system performs preliminary filtering of reservation requests based on these pre-set conditions, so that drivers only receive requests that match their preferences. This preliminary action eliminates the need for drivers to manually evaluate each request against multiple criteria, improving efficiency while keeping the interface simple.
2Productivity
If the system uses big data to optimize vehicle deployment and provide real-time guidance, then revenue optimization is improved, but loss of information increases due to data processing requirements
Solution Approach 1:
The server acts as an intermediary that collects, processes, and analyzes big data from multiple sources (passenger requests, driver locations, traffic conditions, etc.). It transforms this raw data into processed information such as recommended pickup locations, optimal routing suggestions, and demand heat maps. This intermediary processing reduces the information burden on individual terminals while enabling revenue optimization through data-driven decisions.
Solution Approach 2:
The system implements feedback loops where reservation request patterns, driver performance data, and passenger satisfaction metrics are continuously collected and analyzed. This feedback informs dynamic adjustments to vehicle deployment strategies, pricing recommendations, and route optimization, enabling the system to adapt to changing conditions and maximize revenue while learning from historical data patterns.
3Reliability
If the system provides comprehensive authentication and carsharing schedule management, then reliability of transportation service is improved, but device complexity increases
Solution Approach 1:
The mobile terminal application integrates multiple functions into a single unified interface: authentication verification, carsharing schedule management, reservation request handling, real-time location tracking, and payment processing. By consolidating these functions into one application, the system achieves comprehensive service reliability without requiring users to manage multiple separate systems or devices, thus avoiding operational complexity.
Solution Approach 2:
The system implements automated authentication processes where drivers and passengers verify each other's identities through the application without manual intervention. Carsharing schedules are automatically managed, with the system handling bookings, modifications, and cancellations based on pre-set rules. This self-service automation ensures service reliability through consistent rule application while reducing the operational complexity for users.
Data Source
AI summary
The present disclosure may include a mobile terminal and a control method thereof, and the mobile terminal may include a display unit configured to display a map image in a predetermined range around a predetermined point; a wireless communication unit configured to receive at least one carsharing schedule set within the predetermined range from a server; and a controller configured to control the display unit so that a graphic object corresponding to the carsharing schedule is displayed on the map image when the carsharing schedule is received, wherein the controller controls the display unit so that the graphic object disappears when a predetermined time is left from a departure time of the carsharing schedule.