Smart Parking Technology Flashcards

A city deploys smart meters with demand-responsive pricing. Prices automatically rise when block occupancy exceeds 85%. This approach is based on which parking management principle?

Answer: The Shoup Principle / performance-based pricing

Performance-based (or demand-responsive) pricing, pioneered by Donald Shoup, targets 85% occupancy as the optimal rate at which parking is available without circling.

What is the role of an 'API gateway' in a smart parking ecosystem?

Answer: A middleware layer that manages, secures, and routes API calls between parking applications and backend systems

An API gateway serves as the single entry point for all API traffic, handling authentication, rate limiting, routing, and monitoring for smart parking integrations.

In evaluating a smart parking vendor, which SLA (Service Level Agreement) metric is most critical for revenue protection?

Answer: System uptime / availability percentage

System uptime directly correlates to revenue—downtime in PARCS or payment systems means lost transactions and potential security vulnerabilities, making availability the most critical SLA metric.

Which technology allows parking enforcement officers to verify payment compliance without exiting their vehicle?

Answer: Mobile LPR (License Plate Recognition) mounted on enforcement vehicles

Mobile LPR systems mounted on enforcement vehicles automatically read plates and cross-reference payment databases in real time, enabling drive-by compliance checks.

A parking operator is implementing 'frictionless parking.' What is the defining characteristic of this approach?

Answer: Removing all manual touchpoints (gates, tickets, payment kiosks) so parkers enter, park, and leave without stopping

Frictionless parking uses LPR, mobile payments, and open-access entry/exit to create a completely seamless experience where drivers never need to stop or interact with equipment.

What does 'edge computing' enable in smart parking sensor networks?

Answer: Local data processing at the sensor level to reduce latency and bandwidth requirements to the cloud

Edge computing processes data locally on or near sensors rather than transmitting raw data to the cloud, reducing latency, bandwidth costs, and dependency on connectivity.

Which approach best describes 'multi-modal integration' in the context of smart parking?

Answer: Connecting parking systems with transit, ride-share, and micro-mobility data to create seamless first/last mile solutions

Multi-modal integration connects parking data with buses, trains, bike-share, and ride-hail platforms so travelers can plan complete door-to-door trips that include parking as one segment.