By effectively utilizing smartphones to reach out and engage a large population of mobile users, mobile crowdsourcing can become a game-changer for many urban operations, such as last-mile logistics and municipal monitoring. To overcome the uncertainties and risks associated with an opportunistic model of traditional crowdsourcing, we developed a centrally-coordinated task assignment/recommendation technology that matches workers to tasks that lie along their predicted movement paths. Our technologies have been embedded and demonstrated at campus-scale, via a real-world mobile crowd-tasking platform.
Technology Features, Specifications and Advantages
Trajectory Aware Proactive Task Recommendation: Using the historical traces of individual user movement, a predictive trajectory profile is developed. Based on the prediction, a set of tasks that are best suited to each individual’s predicted movement pattern are made available.
Task Bundling and Variable Pricing: Uses the history of worker movement and task completion behaviour to create different types of task bundles and automatically adjust the reward prices for tasks, to ensure that tasks are completed more uniformly across the entire geographical area.
Dynamic Task Offloading: Allows community-supported crowdsourcing practices, by enabling workers to dynamically offload previously accepted tasks to willing buddies and share the resulting task completion rewards.
This technology is applicable in the following areas:
- Crowd-sourced queue and inventory monitoring
- Store display compliance
- Last-mile crowdsourced package delivery
Urban Operations and Monitoring
- Municipal services monitoring
- Fleet diagnostics
- Bike path monitoring (usage patterns of trails, bumps/blocks on trails)
- Smart campus monitoring in universities, offices, housing estates, etc