Transit Capacity Monitoring and Management

Solution Group

Industry

Smart Transportation
Transport and Logistics

PoC Duration

Iotellect Match

5-20 days
AI powered Low Code IoT/IIoT Platform

Enhance public transportation by optimizing capacity, reducing overcrowding, and improving safety through real-time data. Allow dynamic service adjustments, better passenger experiences, and accurate wait-time predictions. Gain operator efficiency by using data-driven decisions, reducing costs, and improving energy use. Also support emergency responses and predictive maintenance, integrating with other transit modes for seamless travel.

Iotellect is a low code IoT/IIoT development platform. It does not work as an out-of-the-box solution or product. Instead, it helps you to monetize your IoT know-how by dramatically lowering labor costs and cutting time-to-market for your product, service, or solution. It allows business-oriented IoT professionals to join the development process by converting their IoT market knowledge directly into product features and specific value delivered to your end customers.

Build Your IoT Application

Connect Your

Transportation Infrastructure

image
Interactive kiosks
image
Traffic signal controllers
image
Variable message signs
image
GPS/GNSS vehicle trackers
image
Environmental sensors
image
Network equipment
image
Data storage systems
image
Cameras and AI-vision systems
image
Passenger counting sensors
image
Automated fare collection devices
image
Radio communication devices
image
Weigh-in-motion systems
image
Digital signboards
image
Passenger mobile devices
  • Utilization of technologies like 4G/5G, Wi-Fi, and satellite communications to transmit real-time data between vehicles, control centers, and passengers
  • Provision for real-time information on vehicle locations, occupancy levels, and delays, enhancing user experience
  • Communication between transit vehicles and traffic signals to optimize traffic flow and reduce delays
  • Automated adjustment of routes and schedules in real time based on passenger demand and traffic conditions
  • Collection for user feedback through apps or kiosks, helping transit agencies improve services
  • Adaptive traffic management by changing of traffic signal timings based on real-time transit vehicle locations to optimize flow

Connectivity and Management

  • Low code integration with smart city platforms
  • Low code integration with traffic management platforms
  • Low code integration with predictive maintenance platforms
  • Low code integration with Passenger Information Systems (PIS)
  • Low code integration with multi-modal transportation systems
  • Low code integration with Automatic Vehicle Location (AVL) systems
  • Low code integration with Intelligent Transportation Systems (ITS)
  • Low code integration with Automated Fare Collection (AFC) systems

Integration

  • Analysis of vehicle location, speed, and delays to assess if services are running on schedule
  • Usage of historical data and real-time information to predict passenger demand patterns at different times, allowing agencies to adjust resources proactively
  • Anticipation of future capacity requirements, optimizing vehicle allocation during peak hours and special events
  • Examination of long-term trends in passenger numbers, helping transit agencies make informed decisions about service adjustments and future planning
  • Performance comparing of different routes over time, identifying which routes are over- or under-utilized and optimizing them accordingly
  • Identification of periods of highest passenger demand to ensure appropriate resource allocation
  • Efficiency tracking of fleet usage, identifying idle vehicles or those running below capacity, enabling better deployment strategies
  • Evaluation of the capacity and usage of transit stations or stops, identifying high-traffic areas and improving crowd distribution
  • Gathering and analysis of feedback from passengers via apps or surveys to identify areas of improvement in service delivery
  • Identification of common travel patterns, such as popular origin-destination pairs, helping transit agencies tailor services to meet demand
  • Modelling of potential outcomes of service changes, such as adding new routes or altering schedules, to predict their impact on ridership and operations

Analytics

  • Display of key metrics such as vehicle locations, occupancy levels, delays, and route performance in real-time through easy-to-understand graphics, charts, and maps
  • Visualization of areas with high passenger density or route demand, making it easier to identify hotspots for service adjustments
  • Personalization of the dashboard layout with widgets to focus on the most relevant data for their roles (e.g., ridership stats, fleet status)
  • Toggling of different map layers to view traffic conditions, infrastructure, passenger flows, or environmental data
  • Notifications for incidents such as overcrowding, delays, vehicle breakdowns, or maintenance issues
  • Filtering of data by date, time, route, vehicle, or station to generate specific reports or focus on key metrics
  • Visual comparisons of performance metrics (e.g., ridership across different time periods or routes), helping users identify trends or issues

UI/UX

Key Features
for Your Transit Capacity Monitoring and Management System

Customers and Partners

  • System Integrators
  • Independent Software Vendors
  • Government Agencies
  • Original Equipment Manufacturers
  • Transportation and Logistics Companies

Solution Users and Developers

  • Dedicated low code developers
  • Data scientists and analysts
  • IoT solution architects
  • IoT/IIoT hardware developers
  • Transportation industry professionals
  • Passenger logistics experts
  • Automotive and urban planning specialists
Customer success team
Community
Online training

Assistance