Top Banner
Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc
17

Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc.

Jan 16, 2016

Download

Documents

Colleen Jenkins
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc.

Integration of Transportation SystemAnalyses in Cube

Wade L. White, AICP Citilabs Inc

Page 2: Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc.

A comprehensive transportation planning system Cube has two parts:

Cube Base: the user interface comprised of 3 sections:

– Application Manager : flow-chart style tool for building model systems

– Scenario Manager: tool for applying the model to multiple scenarios

– Graphics: editing of all data in text, tabular and graphical form

‘Functional Libraries:– VOYAGER– TP+– TRANPLAN– TRIPS– CARGO– AVENUE– DYNASIM– Analyst– LAND (in development)– LOGIT (in development)

Cube Avenue

Page 3: Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc.

Transportation modeling tools

Macroscopic Modeling

Mesoscopic Modeling

Microscopic Modeling

Page 4: Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc.

Macroscopic Modeling

Macroscopic Models generally consider the entire system and estimate routing and flows through a network for a time period.

Currently used for almost all strategic (long-range) planning. FSUTMS Models Very fast analysis of very large areas. Models the behavior of people taking into account:

– Why people are making trips– Why they select a particular mode– Why they select a particular route

Page 5: Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc.

Cube Voyager

the latest technology for the forecasting of personal travel. a modular and script-based structure allowing the incorporation of

any model methodology HCM junction-based capacity restraint for highway analysis includes highly flexible network and matrix calculators for the

calculation of travel demand and for the detailed comparison of scenarios.

designed to provide an open and user-friendly framework for modeling at any level

This makes the management of data a snap, and the coding of complex methodologies simple via a step-by-step approach.

Page 6: Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc.

Cube Voyager Model

Page 7: Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc.

Highway Traffic Flow

Page 8: Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc.

Mesoscopic Models

MESOscopic are MORE detailed than MACROscopic travel demand models but are LESS detailed than MICROscopic simulation models. 

Cube Avenue, a mesoscopic dynamic assignment model is available for CUBE. 

With mesoscopic models, it is still possible to quickly analyze larger areas with a more detailed model which overcomes the pitfalls of the macroscopic travel demand models.

– Takes into account intersection configurations and controls– More detailed estimates of delay, travel time, and capacities– Enforces capacity limitations and the effects of queues ‘blocking back’– Models flow curves and changing demand throughout an analysis period– Allows vehicles to respond to traffic conditions and change their route

Page 9: Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc.

Cube Avenue representing vehicles as discrete packets or individual vehicles

assigning a specific time of departure from the origin point in the network to each packet or vehicle

routing the vehicles along multiple paths in response to dynamic traffic conditions

representing queues and bottlenecks including ‘blocking back’ or the formation of queues on a roadway segment or at an intersection which spill back up-stream to block roadway segments which feed into the roadway segments

Region-wide, corridor-level

Evacuation modeling, greater analysis of geometrics, traffic control and ITS strategies

Quantify impacts of upstream traffic congestion

Summary of Avenue:– Measure queuing at intersections and merge points in a network

– Isolate secondary impacts from one intersection through another

– Evaluate the benefits of ITS (intelligent transportation system) projects

– Simulate alternative infrastructure, operational, and policy changes to optimize emergency evacuation plans and strategies

– Test strategies to improve arrival and departure from stadiums and other special-event facilities

Page 10: Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc.

NERPM Dynamic Traffic Assignment

Build TOD Vehicle Trips

Establish Dynamic Assignment Parameters

Dynamic Traffic Assignment

Page 11: Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc.

NERPM DTA Animation

Page 12: Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc.

Microscopic Modeling

Microscopic models are VERY detailed and take into account vehicle’s interactions with the following aspects:

– The roadway geometry (lanes, turning lanes, weaving areas, exclusive lanes)– Physical size of different types of vehicles– Details of traffic control (signal timing, phasing, geometric configurations)

Microsimulations are Stochastic (contain random processes) which emulates:

– The fluctuating nature of traffic flows– Variations in human behavior and responses

Microsimulations are Multimodal and can consider the effects of traffic interacting with all other users of the transportation system:

– Pedestrians, Bicyclists, Motorcyclists– Trucks and other Heavy Vehicles– Transit vehicles, Taxis, Light and Heavy rail vehicles

Page 13: Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc.

Cube Dynasim

Integration with demand models– Polygon select of an area and export of data to the microsimulation. Saves enormous

time Stand alone microsimulation

– Layered approach much more intelligent than other software 2d and 3d animation

– Export of shape layers and images– Use of industry standard 3ds files for high quality 3d– True sharing of results via exportable animations

Scenario-based Simulation– Only one Dynasim project for all simulation alternatives– Eliminates redundancy– Ensures consistency

Analysis of Multiple Runs inherent to the system– Automatically performs multiple runs and summarizes results– Ensures a robust analysis with no additional burden on the user

Interactive Results– Completed simulations may be exported to a DynaViews program– Interactive Animations with the same features as Dynasim– Freely distributable

Page 14: Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc.

Building a Dynasim Simulation

Page 15: Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc.

Dynasim Simulation

Roundabout Simulation Bus Terminal Simulation

Page 16: Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc.

Summary Modern software platform providing:

– integrated environment for regional planning

– regional traffic simulation

– corridor level detailed project evaluation

Cube Voyager for regional planning – traffic flows

Cube Dynasim for corridor simulation = animations

Cube Avenue (DTA) for region-wide simulation – queues/ delays

Page 17: Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc.

Questions