Plaing with Innov8
IBM Innov8
Game 1- Smarter Traffic
Today’s systems need reliable, real-time data and efficient management tools to deal with vexing problem of traffic congestion.
This game allows players to use BPM skills (Business Process Management Skills) to solve real world traffic situations in order to improve the way traffic events are handled. By implementing real-time solutions, one can reduce traffic congestion and green house gas emissions in major urban areas.
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Current scenario: This city s facing some serious challenges like heavy gridlock. Peak hour commutes from the suburbs into downtown are averaging an hour per driver each day. Vehicle accidents worsen traffic congestion, making movement difficult for critical personnel like First Respondents.
Currents solution: Traffic Prediction Tool- forecasts congestion with up to 90% accuracy. [pic]
The goal here is to modify the dispatching of problematic situations. The alternative I chose was a combination between INPUT FROM CAMERAS ON CONGESTED ROAD and AUTO-REROUTING BASED ON BIZ RULES. It is not suitable to dispatch the info from the camera directly to the police because the police needs to analyze it- be it human operators or even the more costly to implement/ acquire for police, a smart autonomous decision system- and then send the result further into traffic. The intelligent automatic rerouting saves time.
[pic]
The new solution involves three players: • Traffic Police is used to reroute traffic around accident scenes. • Smart Roadside Signs can also help divert commuters. • Smart Stoplights control the flow of traffic more efficiently.
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Smarter Traffic – Scenario 1/3- Traffic Accident
Set Rerouting Business Rules
This step involves setting the number of smart stoplights, smart roadside signs and policemen. The criteria used to evaluate the choice is defined by drivers’ satisfaction and environmental impact. The result is shown in the 3 screenshots
Game 1- Smarter Traffic
Today’s systems need reliable, real-time data and efficient management tools to deal with vexing problem of traffic congestion.
This game allows players to use BPM skills (Business Process Management Skills) to solve real world traffic situations in order to improve the way traffic events are handled. By implementing real-time solutions, one can reduce traffic congestion and green house gas emissions in major urban areas.
[pic]
Current scenario: This city s facing some serious challenges like heavy gridlock. Peak hour commutes from the suburbs into downtown are averaging an hour per driver each day. Vehicle accidents worsen traffic congestion, making movement difficult for critical personnel like First Respondents.
Currents solution: Traffic Prediction Tool- forecasts congestion with up to 90% accuracy. [pic]
The goal here is to modify the dispatching of problematic situations. The alternative I chose was a combination between INPUT FROM CAMERAS ON CONGESTED ROAD and AUTO-REROUTING BASED ON BIZ RULES. It is not suitable to dispatch the info from the camera directly to the police because the police needs to analyze it- be it human operators or even the more costly to implement/ acquire for police, a smart autonomous decision system- and then send the result further into traffic. The intelligent automatic rerouting saves time.
[pic]
The new solution involves three players: • Traffic Police is used to reroute traffic around accident scenes. • Smart Roadside Signs can also help divert commuters. • Smart Stoplights control the flow of traffic more efficiently.
[pic]
Smarter Traffic – Scenario 1/3- Traffic Accident
Set Rerouting Business Rules
This step involves setting the number of smart stoplights, smart roadside signs and policemen. The criteria used to evaluate the choice is defined by drivers’ satisfaction and environmental impact. The result is shown in the 3 screenshots