Transportation OS: A Simulation Platform to Explore Breakthrough Concepts in Intelligent Transportation

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Today, transportation planners are asked to optimize the transportation system such that every participant has minimal latency while the costs of the overall infrastructure are minimized. The tools at hand focus on road design, signage, and traffic light management. These tools are coarse grained and must manage a variable degree of compliance from human drivers. Overall, this is a very difficult task. Perhaps the biggest opportunity for the transportation system is the electronics technology revolution, which makes many powerful tools available. These include the availability of customer point-to-point information (cellphone applications), dynamic traffic management (smart lights), and directive agents (Autonomous Vehicles or Commercial Fleets). Further, with the availability of these tools, fundamentally new customer engagement models can be enabled to optimize the transportation system. In this paper we present the Transportation OS, a next generation simulation environment, which is built to explore break-out models enabled by bottom-up electronics infrastructure. T-OS is differentiated by exploring concepts such as micro-tolling and dynamic traffic management combined with a top-down market based optimization paradigm.

Technology

FPolyOS: A Simulation Platform
to Explore Breakthrough
Concepts in Intelligent
Transportation
MUSTAFA ILHAN AKBAS, CALEB A. LONG, SAIVAMSI K. HANUMANTHU, EASTON
ANDERSON, RAHUL RAZDAN
ADVANCED MOBILITY INSTITUTE
FLORIDA POLYTECHNIC UNIVERSITY
APRIL 12TH, 2019

1. Problem Definition
2. Application Scenario
3. FPolyOS
4. Simulation Study
5. Conclusion

Problem Definition
 Problem
 Current Simulation Software provide a platform to simulate traffic
 These platforms are great tools for transportation engineers
 Software defined, dynamic solutions can scale up the
opportunities
 Objective
 To create a plug-and-test simulation platform that abstracts the
transportation system and allows development of innovative
applications

Application Scenario
 Smart shifting of traffic - increase link
utilization and minimize travel time
 Economic market - dynamic tolling and
microtolling
 …
 Unlimited Opportunities

FPolyOS Architecture
 3 layer architecture
Input - Simulation/real world data
FPolyOS
Application
 FPolyOS bridges the complex input layer
to all users by providing open interfaces to
interact with and create applications.

Simulation Study
 PolyCity- Testbed City
 Rapid testing and turnaround time

Simulation Study
 Used MATSim Berlin as a large scale testing
ground
 The city contains 494,000+ agents.
 With this dataset we conducted a traffic
shifting study on how moving traffic affects
link utilization

Conclusion
 Milestones:
 FPolyOS - OS for transportation system
 Open interfaces
 Dynamic Traffic Manipulation
 Fine tuning parameters such as road cost and speed
 Future Work
 Market Based Applications
 FPolyOS Package

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1. FPolyOS: A Simulation Platform to Explore Breakthrough Concepts in Intelligent Transportation MUSTAFA ILHAN AKBAS, CALEB A. LONG, SAIVAMSI K. HANUMANTHU, EASTON ANDERSON, RAHUL RAZDAN ADVANCED MOBILITY INSTITUTE FLORIDA POLYTECHNIC UNIVERSITY APRIL 12TH, 2019

2. 1. Problem Definition 2. Application Scenario 3. FPolyOS 4. Simulation Study 5. Conclusion

3. Problem Definition  Problem  Current Simulation Software provide a platform to simulate traffic  These platforms are great tools for transportation engineers  Software defined, dynamic solutions can scale up the opportunities  Objective  To create a plug-and-test simulation platform that abstracts the transportation system and allows development of innovative applications

4. Application Scenario  Smart shifting of traffic - increase link utilization and minimize travel time  Economic market - dynamic tolling and microtolling  …  Unlimited Opportunities

5. FPolyOS Architecture  3 layer architecture Input - Simulation/real world data FPolyOS Application  FPolyOS bridges the complex input layer to all users by providing open interfaces to interact with and create applications.

6. FPolyOS Architecture

7. Simulation Study  PolyCity- Testbed City  Rapid testing and turnaround time

8. Simulation Study  Used MATSim Berlin as a large scale testing ground  The city contains 494,000+ agents.  With this dataset we conducted a traffic shifting study on how moving traffic affects link utilization

9. Simulation Study Results

10. Conclusion  Milestones:  FPolyOS - OS for transportation system  Open interfaces  Dynamic Traffic Manipulation  Fine tuning parameters such as road cost and speed  Future Work  Market Based Applications  FPolyOS Package

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