INTEGRATING MESO-AND MICRO-SIMULATION MODELS TO EVALUATE TRAFFIC MANAGEMENT STRATEGIES, YEAR 2
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

For very narrow results

When looking for a specific result

Best used for discovery & interchangable words

Recommended to be used in conjunction with other fields

Dates

to

Document Data
Library
People
Clear All
Clear All

For additional assistance using the Custom Query please check out our Help Page

i

INTEGRATING MESO-AND MICRO-SIMULATION MODELS TO EVALUATE TRAFFIC MANAGEMENT STRATEGIES, YEAR 2

Filetype[PDF-1.90 MB]


English
Details You May Also Like

Details:

  • Creators:
  • Corporate Creators:
    Arizona State University. Fulton School of Engineering
  • Corporate Contributors:
  • Subject/TRT Terms:
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    United States
  • Corporate Publisher:
    SOLARIS Consortium
  • Abstract:
    In the Year 1 Report, the Arizona State University (ASU) Project Team described the development of a hierarchical multi-resolution simulation platform to test proactive traffic management strategies. The scope was to integrate an easily available micro-simulation model VISSIM [2, 4] with an open-source mesoscopic DTA simulator being developed at ASU, DTALite [9, 20], develop an integrated model referred to as METROSIM (MultirEsolution TRaffic Operations SIMulator). The ASU project team developed METROSIM systems architecture and started the development of the METROSIM system. Based on the nature of the component software systems, the ASU team realized in Year 1 that it would be difficult to develop a single stand-alone METROSIM platform [17], especially due the proprietary nature of VISSIM and the differences in the underlying models of traffic flow phenomena and different fidelities of VISSIM and DTALite. In Year 2 phase, the ASU team continued the development of the METROSIM Platform, now with the systems architecture focusing on the process of integrating VISSIM and DTALite using a fidelity interface which is referred to high-resolution DTA (HD-DTA). Concurrently, the project team started using METROSIM in a synergetic effort on study of strategies for Dynamic Mobility Applications(DMA) [11], and Active Traffic and Demand Management (ATDM) strategies [12], for FHWA, through a subcontract on a FHWA contract to Booz-Allan-Hamilton [1]. The combined efforts allowed the ASU team to conduct many more tests with METROSIM, some of which are reported in this report. The two main applications evaluated in this project using METROSIM were adaptive ramp metering and proactive traffic signal control. The goal was to evaluate two new applications: Proactive Multimodal Traffic Signal Control (PMTSC1) and Multimodal Adaptive Ramp Metering (MARM*), but given the limitation of time, a new version of RHODES [3, 14, 15, 16, 18] which is essentially a proactive traffic control system and a rudimentary adaptive ramp metering (ARM) scheme based on earlier research [13, 14], discussed in detail in this report, were evaluated instead. The development and algorithms for RHODES and ARM are discussed in this report.
  • Format:
    PDF
  • Collection(s):
  • Main Document Checksum:
  • Download URL:
  • File Type:

Supporting Files

  • No Additional Files
More +

You May Also Like

Checkout today's featured content at rosap.ntl.bts.gov