Problems by category: Mobility

Passengers need real pickup delays, driver conduct, luggage handling, seat condition, stop quality, and cancellation behaviour.

Waterlogging, underpass depth, diversions, drain overflow, and two-wheeler safety become visible only after people are already stuck.

Commuters need walking safety, transfers, wait reliability, elevators, bike parking, weather, and crowding context.

Travellers coordinate porters, autos, cabs, elderly relatives, platform changes, and late-night safety with scattered information.

People reach forts, bazaars, and old-city lanes without clear parking, walking, queue, or traffic expectations.

Pilgrims struggle with bus, train, taxi, luggage, elderly needs, and late-night departure coordination.

Employees leave at different times, surge pricing spikes, routes change, and shared rides collapse without live coordination.

Residents and tourists cannot predict bottlenecks, parking, diversions, or return timing before committing to a route.

Commuters still guess whether walking, autos, buses, or cabs will work around stations under real weather and traffic.

People reach markets, clinics, and offices without knowing parking availability, paid zones, tow risk, or walking distance.

Riders cannot tell whether part replacement, labour charges, and repair urgency are honest or inflated.

Commuters combine metro, buses, autos, ferries, and walking without clear real-world timing by route.

Tech workers coordinate office days, cabs, meetings, and pickups with no clean way to predict real corridor delays.

Heavy rain turns route choice into guesswork because drain status, diversions, and local passability are not visible before leaving.

Commuters need practical visibility on autos, buses, parking, walking safety, and real total travel time.

Commuters coordinate ferries, metro, autos, parking, and rain delays manually instead of seeing the real journey.

Shared autos, buses, fares, timing, and safe stops are learned through trial and error.

Commuters compare walking, autos, e-rickshaws, shuttles, and parking without real-time reliability.

People switch between trains, buses, autos, hotels, and food stops without reliable timing and luggage support.

Visitors compare taxis, shared rides, timings, security rules, and return plans without one reliable picture of the full trip.

People choose lines, coaches, and timing with weak visibility into platform crowding, delays, and last-mile pressure.

Cars, bikes, scooters, and rentals need simple proof of pre-existing damage, battery state, cleanliness, and handoff condition.

College and school routes depend on informal updates around timing, crowding, cancellations, and last-mile pickups.

Passengers and drivers argue over route, waiting, luggage, payment mode, traffic, and return-trip expectations before the ride starts.