Transport Capacity Management for a Better Commuter Experience

Customer satisfaction is a shared goal for transportation operators and passengers alike. Timely, accurate, personalized, and consistent information about travel plans and current capacity is essential to a positive experience. Numerous studies underline the direct link between customer satisfaction and the availability of reliable data.

However, fulfilling this need can be challenging, with obstacles that often seem insurmountable. Station officers, CIOs, and industry leaders in this space will attest to several persistent challenges:

1. Data Dark Spots: Lack of technical solutions to provide accurate ridership distribution post-ticketing, creating information gaps.
2. Inaccurate Proxy Data: Relying on proxy data for insights is prone to inaccuracies, and station staff reporting may not lead to a coordinated response.
3. Data Disparities: Slow or disjointed data from disparate systems hinder efforts to provide consistent omni-channel customer information.
4. Unplanned Events: Unforeseen outages or incidents disrupt network operations, and historical data for coordinated responses is often unavailable.

Transport environments are inherently complex and unpredictable and require real-time monitoring across multiple locations to provide an accurate assessment. To achieve this, the following data sets are imperative:

• Precise Commuter Counting: Down to specific locations, entry/exit points, train doors, and more.
• Commuter Movement Profiles: Understanding how passengers move within transport hubs.
• Commuter Dwell Time: Monitoring how long passengers spend at various locations.
• Object Detection: Identifying objects in spaces where they shouldn't be.
• Social Distancing and Crowd Density Monitoring: Ensuring safety during crowded situations.
• Revenue Leakage Analysis: Determining ridership versus paying customers.

To make sense of this data, rules must be applied to enable alerts, notifications, and trend analysis, providing valuable insights over time.

Vision is our most powerful sense. 

Historically, organizations have relied on staff's visual sense for inspections. This shared experience has been the norm for decades, but we're witnessing a shift from manual visual inspections. Manual inspections are error-prone; their data is often unstructured and costly to convert into actionable insights.

Unleash live offers a solution through Computer Vision, which is enabled by connection to your existing camera networks. This technology combines data from hundreds of cameras across multiple locations, running AI concurrently to detect, alert and store data for analysis. It frees up staff for more meaningful work, enriching the commuting experience.

Addressing key concerns relating to data privacy  

How is Personal Identifiable Information (PII) managed

Unleash live chooses to adopt a policy where we do not apply any facial recognition AI to detect individuals. This important distinction differentiates our service from a company conducting surveillance and monitoring. With Unleash live, when people are detected for analysis, their faces are blurred to protect the individual's privacy further.

How long is visual data stored?

Data storage depends upon the customer's use case and requests. We offer the choice of stripping the metadata and immediately deleting all visual data to store footage for future AI training and app building at the customer's request. In some instances, customers require visual verification for auditing purposes, and therefore, the data is kept. It simply depends on the customer's preference.

Access to the data

We require all customers to authorize their personnel as their master administrator(s), and these personnel control access to the customers' data.

Where is the data stored?

When the deployment is in the cloud, UnleashlLive uses AWS data centers in the respective AWS region for that customer. 

Who owns the data saved on the platform?

Our customers own all data captured and stored in an Unleash live account.

Can customers opt to store their data in an AWS account?

With a well-established business process, customers can opt to store in their AWS S3 account.

What can customers expect? 

A snapshot sample of footage below provides reporting on the movement of people and flow and provides alerts when objects are detected in a given space, such as bicycles being left unattended or backpacks left on platforms.