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Capability-Enhanced PARAMICS Simulation with Developed API Library

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Capability-Enhanced PARAMICS Simulation with Developed API Library Lianyu Chu, Henry X. Liu, Will Recker California Partners for Advanced Transit and Highways (PATH ... – PowerPoint PPT presentation

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Title: Capability-Enhanced PARAMICS Simulation with Developed API Library


1
Capability-Enhanced PARAMICS Simulation with
Developed API Library
  • Lianyu Chu, Henry X. Liu, Will Recker
  • California Partners for Advanced Transit and
    Highways (PATH) University of California, Irvine

2
Presentation Outline
  • Introduction
  • Methodologies
  • Capability enhancements
  • Development of advanced API modules
  • Applications
  • Conclusions

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

4
Motivations
  • Replicate the real-world traffic operations
  • e.g. actuated signal control, HOV, etc.
  • 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
Two approaches
  • Modifying the source code
  • API Programming
  • API Application Programming Interface
  • gt our practices of enhancing capabilities of
    PARAMICS via API
  • PARAMICS high-performance, ITS-capable,
    user-programming micro-simulation package

6
Role of API
Core Model
API
(source FHWA)
7
How PARAMICS API works
8
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...
9
Current components of API-enhanced PARAMICS
10
Capability enhancements
  1. Basic control modules
  2. Traffic data collection and communication
  3. Database connection
  4. Overall performance measures

11
Basic control modules
  • Signal (Actuated signal control)
  • Dual-ring, 8-phase logic
  • Signal controller Interfaces with advanced
    signal modules
  • Ramp metering
  • Fixed-time, time-of-day basis
  • n-cars-per-greenbasis
  • HOV bypass
  • Ramp metering controller Interfaces with
    advanced metering algorithms
  • Path-based routing
  • Specified vehicles follow a given path

12
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

13
Database connection
  • MYSQL highly efficient database
  • Purposes of this module
  • Storing intermediate data during simulation and
    simulation results
  • Exchange data with other API modules / outside
    programs

14
Overall performance measures
  • PARAMICS powerful in MOE data collection
  • MOE API can collect
  • System performance
  • Freeway performance
  • Arterial performance
  • Statistical Measures
  • Mean
  • Variance
  • Etc.

15
Development of advanced modules
16
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, Bool
    status)

17
Developed advanced modules
  • Actuated signal coordination
  • Adaptive ramp metering algorithms
  • ALINEA, ZONE, BOTTLENECK, SWARM
  • PARAMICS-DYNASMART
  • Demand-responsive Transit

18
Sample Applications
  • Signal
  • Hardware-in-loop, testing 170 controller
  • On-line signal control based on real-time delay
    estimation
  • Ramp metering
  • Evaluating adaptive ramp metering algorithms
  • TMS master plan
  • Evaluating potential ITS strategies

19
User groups
  • Caltrans Transportation planning Traffic
    operation
  • California PATH headquarter at Berkeley
  • UC Davis
  • National University of Singapore
  • Consultant companies
  • Dowling Associates
  • Cambridge Systematics

20
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

21
More information
  • PCTSS website
  • http//www.its.uci.edu/paramics/
  • PATH website
  • http//www.path.berkeley.edu/
  • Contact PATH ATMS Center _at_ UC Irvine
  • Lianyu Chu lchu_at_translab.its.uci.edu
  • Henry Liu hliu_at_translab.its.uci.edu
  • Will Recker recker_at_translab.its.uci.edu
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