an lrt integrated modeling approach - lvite2015.com file2015 milne award allen nie, phd, pe, frank...

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2015 Milne Award Allen Nie, PhD, PE, Frank Zhang, PhD, Richard Davies, CEng July 22 nd , 2015 – Western ITE, Las Vegas An LRT Integrated Modeling Approach The Calgary Solution

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2015 Milne AwardAllen Nie, PhD, PE, Frank Zhang, PhD, Richard Davies, CEng

July 22nd, 2015 – Western ITE, Las Vegas

An LRT Integrated Modeling ApproachThe Calgary Solution

Interaction Causes Operational & Safety Issues

Shared R.O.W.

Balance Different Needs

“… timing level LRT crossing requires a delicate balance ...”

Existing Tools Are Limited

“ …The solutions always represented either the rail or the highway, never a solution for both..” --

Gordon Head, Deputy Rail Practice Leader, HMM

Limitation of the Iterative Approach

Iteration 1

Iteration 2

Iteration 3

Iteration 1

Iteration 2

Iteration 3

Highway Model Rail Model

Convergence?

Train TeamHighway Team

The LIMA Concept

Implementation – Interface Programming

Train Dynamics

Train Signaling Communication

LIMA

Traffic Signals Control

Analysis & Reporting

VISSIM Traffic Simulation Model

LIMA Validation: Train DynamicsOpenTrack

LIMA

Downtown Calgary LRT

LIMA Integration for Calgary LRT

Existing Year Model Calibration

Simulation Showing the Problem

The Train Blockage Issue

Calgary Downtown LRT Capacity Expansion

LIMA Info

Time-Distance Diagram + Signal Status

Event Sequence Diagram

Dwell time, delay, travel time

Roadway intersection traffic operations

Value to the Project

“…[LIMA] allows us to replicate and predict real-world operation with the absolute best accuracy

possible. The integration will be invaluable in allowing us to test further planned operational changes quickly and easily within the model,

before we implement them in reality …”

-- Jodie Marcyniuk Calgary City Traffic Engineer

Thank you! Questions & Answers