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原文传递 Integrating Meso- and Micro-Simulation Models to Evaluate Traffic Management Strategies - Year 2.

题名：	Integrating Meso- and Micro-Simulation Models to Evaluate Traffic Management Strategies - Year 2.
作者：	Mirchandani, P. B.; Li, P.; Zhou, X.; Fulton, I. A.
关键词：	Multi-resolution simulation, Traffic operations, Dynamic traffic assignment, Traffic signal systems, Traffic simulation, Regional traffic management
摘要：	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. METROSIM was used to evaluate the operation of ARM and RHODES, both individual and joint operations. Two ATDM applications that influence the operation of ARM, and expected to improve its performance, are (a) traffic prediction and (b) traveler information systems that recommends dynamic rerouting to travelers; these were also evaluated using METROSIM. There synergistic operation of these applications with ARM was also evaluated. Finally, other factors that influence the performance of the ATDM applications are: (1) representative traffic conditions under which the ATDM applications may operate, (2) limitations of the technologies being used, (3) market penetration of the users of the ATDM technologies, that is, the percentage of population being affected, and (4) synergies among the implemented ATDM components. These issues were studied and are reported here.
报告类型：	科技报告