IBM Intelligent Transportation

Use one integrated transportation system

• Identify and measure a variety of current traffic conditions and transit operations, including traffic speed and volume on city roads; transit vehicle current locations; vehicle arrival prediction times; and on-schedule performance.
• Analyze historical traffic and transit data and trends to predict future traffic and transit conditions.
• Integrate existing technologies into a single information model that uses advanced analysis for better visibility of traffic incidents and transit movements.
• Capture data from disparate sources, such as cameras, radar, under-road loop detectors, on-board vehicle navigation systems and systems based on Bluetooth or mobile phone technology.
• Use system-wide analysis methods to predict various conditions, including traffic speed and volume; transit flow; and transit schedule deviation up to an hour in advance.

Leverage the Intelligent Operations for Transportation component for decision support

• Gain near real-time situational awareness about current traffic performance and issues. Use graphical and tabular displays to track current traffic conditions and service levels throughout a transportation network.
• Optimize workforce coordination and control by using dashboards that integrate information from various systems and traffic-related devices. Current status and feeds may come from signals, signs and cameras.
• See historical performance patterns of traffic networks to improve traffic operations and enable continual performance improvements. Use historical data to create auditable best practices for flow optimization and incident management.
• Create better city traffic designs and plans by analyzing historical patterns of traffic conditions and incidents. Track peak-hour volumes and congestion on the most critical links in the network as a function of location, time and speed limit.
• Improve traffic predictions by using near real-time data to predict traffic conditions, including speed and volume, up to an hour into the future.

Utilize the Intelligent Transit Analytics component for insights

• Gain near real-time situational awareness about current transit network performance and issues. Display the current transit operation status graphically with vehicle, route and stop perspectives or in tabular and report views.
• Improve coordination and control of transit movement by using dashboards that integrate information from various systems and transit-network-related devices. Current status and feeds may come from vehicles, message signs, timetable displays and cameras.
• Use key performance indicators related to on-schedule operations of transit networks. This helps improve transit operations, planning and performance.
• Analyze historical patterns of transit operations and incidents to optimize city transit design and planning to create auditable best practices for transit optimization. Analysis can include peak-hour volumes, traffic congestion, transit flow and schedule deviation on the most critical links in the network as a function of location, time and travel time.
• Promote proactive management of transit operations by using near real-time data to predict vehicle arrival times. Use traffic condition and volume to calculate vehicle arrival times at future stops.

Use collaborative tools

• Allow multiple stakeholders to collaborate more easily and solve problems faster using one integrated traffic and transit management system.
• Work more collaboratively with other transportation departments to make it easier to reduce traffic congestion, optimize transit schedules, improve transportation network performance and enable better responses to incidents.
• Enable urban traffic planners and transportation system operators to prepare and use critical information throughout the existing transportation network.
• Provide timelier information to citizens about current traffic conditions and anticipated problems. This helps improve --traveler experience and reduce negative commercial and environmental impacts.

Take advantage of flexible deployment options

• Deploy IBM Intelligent Transportation product in on-premise data centers in cities with robust IT capabilities or strong “behind-the-firewall” implementation requirements.
• Take advantage of cloud technology and control costs. Implement IBM Intelligent Transportation product through a software-as-a-service (SaaS) contract on the IBM SmartCloud®.