Title: POLARIS: Agent-based modeling framework development and implementation for integrated travel demand and network and operations simulations

Abstract

Here, we discuss the development of an agent-based modelling software development kit, and the implementation and validation of a model using it that integrates dynamic simulation of travel demand, network supply and network operations. A description is given of the core utilities in the kit: a parallel discrete event engine, interprocess exchange engine, and memory allocator, as well as a number of ancillary utilities: visualization library, database IO library, and scenario manager. The overall framework emphasizes the design goals of: generality, code agility, and high performance. This framework allows the modeling of several aspects of transportation system that are typically done with separate stand-alone software applications, in a high-performance and extensible manner. The issue of integrating such models as dynamic traffic assignment and disaggregate demand models has been a long standing issue for transportation modelers. The integrated approach shows a possible way to resolve this difficulty. The simulation model built from the POLARIS framework is a single, shared-memory process for handling all aspects of the integrated urban simulation. The resulting gains in computational efficiency and performance allow planning models to be extended to include previously separate aspects of the urban system, enhancing the utility of such models from the planningmore » perspective. Lastly, initial tests with case studies involving traffic management center impacts on various network events such as accidents, congestion and weather events, show the potential of the system.« less

Authors:

Auld, Joshua ^[1]; Hope, Michael ^[1]; Ley, Hubert ^[1]; Sokolov, Vadim ^[1]; Xu, Bo ^[2]; Zhang, Kuilin ^[3]

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+ Show Author Affiliations

1. Argonne National Lab. (ANL), Argonne, IL (United States)
2. Argonne National Lab. (ANL), Argonne, IL (United States); HERE, Chicago, IL (United States)
3. Argonne National Lab. (ANL), Argonne, IL (United States); Michigan Technological Univ., Houghton, MI (United States)

Publication Date:

Sat Aug 29 00:00:00 EDT 2015

Research Org.:

Argonne National Lab. (ANL), Argonne, IL (United States)

Sponsoring Org.:

USDOE; U.S. Department of Transportation - Federal Highway Administration

OSTI Identifier:

1392074

Grant/Contract Number:  

AC02-06CH11357

Resource Type:

Accepted Manuscript

Journal Name:

Transportation Research Part C: Emerging Technologies

Additional Journal Information:

Journal Volume: 64; Journal Issue: C; Journal ID: ISSN 0968-090X

Publisher:

Elsevier

Country of Publication:

United States

Language:

English

Subject:

42 ENGINEERING; 97 MATHEMATICS AND COMPUTING; Activity-based modeling; Agent-based modeling; Integration; Traffic simulation