Terms of Service

1. Service Description

MetroCrowd provides crowd level estimates for Delhi Metro stations using a combination of machine learning predictions based on historical patterns and real-time community reports submitted by users. The Service is informational only.

2. Eligibility

• You must be at least 18 years of age to create an account
• You must have the legal capacity to enter into a binding agreement
• The Service is currently available only within India

3. Community Reports — User Obligations

When submitting a crowd report, you agree that:

1. Your report reflects your genuine, first-hand observation of conditions at the stated station at the time of submission
2. You will not submit false, misleading, or artificially inflated or deflated crowd reports
3. You will not use automated tools, scripts, or multiple accounts to submit reports
4. You will not submit reports for stations you are not physically at or near

4. Intellectual Property

• MetroCrowd and its logo are the property of the Service operator
• Delhi Metro station data is sourced from DMRC GTFS feeds under the OTD Delhi data licence. Attribution: Delhi Metro Rail Corporation (DMRC) / Open Transit Delhi (OTD)
• Community reports submitted by users are licensed to MetroCrowd under a perpetual, royalty-free, non-exclusive licence for the purpose of operating and improving the Service

5. Account Termination

We reserve the right to suspend or terminate accounts that violate these Terms, submit fraudulent crowd reports, abuse the karma system, or engage in conduct that degrades data quality for other users. You may delete your account at any time from Settings → Account → Delete Account.

6. Modifications to the Service

We may modify, suspend, or discontinue the Service or any feature at any time. We will provide reasonable notice of significant changes via in-app notification or email where practicable.

7. Governing Law and Disputes

These Terms are governed by the laws of India. Disputes shall first be attempted to be resolved through good-faith negotiation. If unresolved within 30 days, disputes shall be submitted to arbitration in Delhi under the Arbitration and Conciliation Act, 1996.

Crowd Data & Recommendations Disclaimer

1. Nature of Crowd Data

MetroCrowd generates crowd level estimates using two sources:

1. Machine learning predictions: statistical models trained on historical Delhi Metro ridership patterns. These predict likely crowd levels based on time of day, day of week, station tier, and historical trends. They do not reflect real-time conditions.
2. Community reports: crowd level observations submitted voluntarily by MetroCrowd users. These reflect a single user's subjective assessment at a specific time and may not represent current conditions.

The crowd percentage displayed is a weighted blend of these two sources, updated approximately every 60 seconds during operating hours. It is inherently a lagging indicator.

2. Accuracy Limitations

• Crowd levels can change significantly within minutes, particularly at high-traffic interchange stations during peak hours
• Community reports depend on user participation. At stations or times with few reports, predictions rely more heavily on historical models
• Crowd data is not sourced from DMRC's internal passenger counting systems. MetroCrowd has no access to real-time passenger data from DMRC
• Special events, service disruptions, protests, public holidays, and weather events can cause conditions to deviate significantly from predictions
• Data older than 10 minutes should be treated as indicative only

3. Coach and Gate Recommendations

Coach recommendations (e.g., "Board Coach 4") are generated from historical crowd distribution models and gate-to-coach proximity data. They do not account for:

• Real-time platform conditions at your specific station
• Emergency situations, security incidents, or DMRC operational changes
• Train cancellations, short-terminations, or altered consist configurations
• Platform edge safety zones and DMRC staff instructions
• Your specific physical needs, mobility requirements, or personal safety considerations

4. Your Responsibility

By using MetroCrowd, you acknowledge that:

• You will exercise your own independent judgement regarding your safety and comfort
• You will comply with all DMRC rules, regulations, and instructions from DMRC staff at all times, regardless of what MetroCrowd displays
• You will not rely solely on MetroCrowd data when making time-critical travel decisions

5. Limitation of Liability

To the fullest extent permitted by applicable law, MetroCrowd is provided "as is" without warranties of any kind. MetroCrowd shall not be liable for any direct, indirect, incidental, special, or consequential damages arising from reliance on crowd data, coach recommendations, or route suggestions. The total liability shall not exceed the amount you have paid to use the Service in the preceding 12 months (which, as the Service is currently free, is zero).

6. No Endorsement by DMRC

7. Data Source Attribution

Station topology and route data is derived from DMRC GTFS feeds made available through Open Transit Delhi (OTD). Ridership pattern data is derived from publicly available DMRC Annual Reports. Community reports are user-generated content.

Condensed Disclaimer

User Consent & Onboarding

The following consents are presented during account creation. Consent 1 is required to use the Service. Consents 2 and 3 are optional and can be changed at any time from Settings.

Consent 1 — Required Required

Consent 2 — Push Notifications Optional

Consent 3 — Analytics Optional

Withdrawing Consent