An Object-Oriented Traffic Simulation with IVHS Applications

McGurrin, Michael; Wang, P.T.R.

doi:10.4271/912797

Cited by 10 publications

(2 citation statements)

References 1 publication

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“…The second model, Vehicular Traffic Analysis Capability (VTAC), is capable of evaluating Advanced Traffic Management Systems (ATMS) and Advanced Traveler Information Systems (ATIS) (27). This model is intended to simulate the performance of a network where drivers are informed of the shortest paths to their destinations.…”

Section: Dynamic Traffic Assignment Simulation Modelsmentioning

confidence: 99%

Evaluation of automatic vehicle specific identification (AVSI) in a traffic signal control system

1997

Transportation Research Part A: Policy and Practice

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INFORMATION TO USERSThis manuscript has been reproduced from the microfilm master. UMI films the text directly from the original or copy submitted. Thus, some thesis and dissertation copies are in Q^pewriter face, while others may be from any type of computer printer.The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and improper aligmnent can adversely affect reproduction.In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion.Oversize materials (e.g., maps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand comer and continuing from left to right in equal sections with small overlaps. Each original is also photographed in one exposure and is included in reduced form at the back of the book.

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Section: Dynamic Traffic Assignment Simulation Modelsmentioning

confidence: 99%

Evaluation of automatic vehicle specific identification (AVSI) in a traffic signal control system

1997

Transportation Research Part A: Policy and Practice

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“…BRIEF LITERATURE REVIEW Transport modelling and simulation are an increasingly active area of research. Simulation of road traffic has progressed from 2D simulators such as TRAF-NETSIM which used an Interactive Computer Graphics system to allow simplistic interaction with the simulation, to 3D simulators such as VISSIM [5] which make use of advanced computer graphics and Virtual Reality techniques to allow real time interaction and visualisation [6][7][8]. Other notable traffic simulators include TransModeler by Caliper, Paramics by Quadstone, MITSIMLab by MIT, and TRANSIMS.…”

Section: Introductionmentioning

confidence: 99%

On Discovering Road Traffic Information Using Virtual Reality Simulations

Ayres

Mehmood

2009

2009 11th International Conference on Computer Modelling and Simulation

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A mixed integer linear programming model for dynamic route guidance

Kaufman

Nonis

Smith

1998

Transportation Research Part B: Methodological

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One of the major challenges facing ITS (Intelligent Transportation Systems) today is to offer route guidance to vehicular traffic so as to reduce trip time experienced. In a cooperative route guidance system, the problem becomes one of assigning routes to vehicles departing at given times from a set of origins to a set of destinations so as to minimize the average trip time experienced (a so-called system optimal criterion) Since the time to traverse a link will depend upon traffic volume encountered on that link, link times are dynamic. The complex interaction resulting between objective function and constraints makes the dynamic problem significantly more difficult to formulate and solve than the static version. We present a mixed integer linear programming * This work was supported in part by the Intelligent Transportation Systems Research Center of Excellence at the University of Michigan 1 formulation of the problem which is formally derived from a set of traffic flow assumptions. Principal among these is the simplifying assumption that vehicles upon entering a link assume the speed that traffic would attain were the traffic volume encountered on that link in steady-state. The integer variables correspond to selection of vehicle capacity constraints on the link while the continuous variables correspond to selection of vehicle routes. Implicit within this MILP formulation of the dynamic traffic assignment problem is therefore a decomposition of the problem that results in a conventional capacitated linear programming network flow problem. A small illustrative subnetwork extracted from the city of Sioux Falls is solved to optimality by IBM's OSL Branch-and-Bound algorithm.

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An Object-Oriented Traffic Simulation with IVHS Applications

Cited by 10 publications

References 1 publication

Evaluation of automatic vehicle specific identification (AVSI) in a traffic signal control system

Evaluation of automatic vehicle specific identification (AVSI) in a traffic signal control system

On Discovering Road Traffic Information Using Virtual Reality Simulations

A mixed integer linear programming model for dynamic route guidance

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