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Development of PARAMICS Plug-ins with Application Programming Interfaces

Development of PARAMICS Plug-ins with Application Programming Interfaces . Henry X. Liu, Lianyu Chu, Will Recker PATH / UC-Irvine. Presentation Outline. Introduction Development Approach Basic Modules Advanced Modules Applications Conclusions. Introduction. Microscopic simulation

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Development of PARAMICS Plug-ins with Application Programming Interfaces

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  1. Development of PARAMICS Plug-ins with Application Programming Interfaces Henry X. Liu, Lianyu Chu,Will Recker PATH / UC-Irvine

  2. Presentation Outline • Introduction • Development Approach • Basic Modules • Advanced Modules • Applications • Conclusions

  3. Introduction • Microscopic simulation • PARAMICS • VISSIM • AIMSUN2… • Applications • Evaluations • Testing models / algorithms …

  4. Why Use API? • Model / Evaluate ITS • e.g. VMS, adaptive signal control, ramp metering, bus rapid transit, etc. • Test new models & algorithm • e.g. a control strategy combining several ITS components

  5. User Input Interface Professional Community Oversight Output Interface GUI Tools Developer Role of API Core Model API (source: FHWA)

  6. How PARAMICS API works

  7. PARAMICS API Development: A Hierarchical Approach Signal Provided API Library Ramp Basic controller Routing Demand... Basic API Modules CORBA Data Handling Databases XML… Adaptive Signal Control Advanced API Modules Adaptive Ramp Metering Network Load Management...

  8. Capability enhancements • Basic control modules • Traffic data collection and communication • Database connection • Overall performance measures

  9. Basic control modules • Signal (Actuated signal control) • Dual-ring, 8-phase logic • Signal Coordination • Ramp metering • Fixed-time, time-of-day basis • “n-cars-per-green”basis • HOV bypass • Path-based routing • Specified vehicles follow a given path

  10. Data collection and broadcasting • Data collection: • Loop detector data collection and aggregation in each polling cycle, emulating the real-world loop data collection • Probe vehicle data: link / section travel time data collection at certain time interval • Data broadcasting to shared memory, accessible through interface functions

  11. Database connection • MYSQL: highly efficient database • Purposes of this module: • Storing data during simulation and simulation results • Exchange data with other API modules / outside programs

  12. Overall performance measures • PARAMICS: powerful in MOE data collection • MOE API can collect: • System performance • Freeway performance • Arterial performance • Statistical Measures • Mean • Variance • Etc.

  13. Development of advanced modules

  14. Development of advanced modules (contd.) • Interface from loop data aggregator: • LOOPAGG loop_agg (char *detectorName) • Interfaces from ramp metering controller (1) Get current metering rate: RAMP *ramp_get_parameters (char *rampnode) (2) Set a new metering rate: void ramp_set_parameters (RAMP *ramp)

  15. Developed advanced modules • Actuated signal coordination • Adaptive ramp metering algorithms • ALINEA, ZONE, BOTTLENECK, SWARM • PARAMICS-DYNASMART • Demand-responsive Transit

  16. Conclusions • Our practices on developing a capability-enhanced PARAMICS simulation environment • Accessible to the core models of micro-simulation – simulation shell • Applicability of the same mechanism to other micro-simulators

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