MTA ETA. Product Description A real-time simulation system that estimates the expected time that it will take a certain bus to arrive at an end- user’s.

Slides:



Advertisements
Similar presentations
Better Accessible Transport to Encourage Robust Intermodal Enterprise Work Package 6 Dr John Harrison.
Advertisements

EZMobile An Overview on Use and Functionality. Operating EZMobile Open the EZMobile program from the shortcut placed on the laptop Press the Attach Database.
The recent technological advances in mobile communication, computing and geo-positioning technologies have made real-time transit vehicle information systems.
MTA ETA. Product Description A real-time simulation system that estimates the expected time that it will take a certain bus to arrive at an end- users.
Presented by: Chakman Choi, Baradhwaj Hariharan, Uday Sankar Kandolath Date: 4/3/07.
School Management Tracking Solutions
Jeremy Siviter, IBI Group, Project Manager May 18th, 2011
Projected Arrival Time Michael Pao Michael Smeets Li-Ren Zhou Abstract The Projected Arrival Time (PAT) system uses the Global Positioning System (GPS)
Projects are unique, one-time operations designed to accomplish a specific set of objectives in a limited timeframe Project managers are responsible for.
Uniform Motion Speed & Velocity.
By Jeremy Baumruk
MOBILE BUDGET PLANNER & SHOPPING ASSISTANT Intuitive and on-the-go approach to budgeting Andrew Okoh Dr. Marko Popovic Kwan Hong Lee.
Using Geographic Information Systems and the World Wide Web for Interactive Transit Trip Itinerary Planning Brian Smith Center for Transportation Studies.
UBIGIous – A Ubiquitous, Mixed-Reality Geographic Information System Daniel Porta Jan Conrad Sindhura Modupalli Kaumudi Yerneni.
Mobile Transit Planning with Real Time Data Jerald Jariyasunant, Dan Work, Branko Kerkez, Eric Mai Systems Engineering Program, Dept. of Civil and Environmental.
1 Mobility for All: Mobility for All: architecture and technology demo approach architecture technology demo future work Jim Sullivan Co-Director, Cognitive.
Typical SDLC Feasibility study Feasibility study Plan Plan Analysis Analysis Design Design Development) Development) Testing Testing Validation Validation.
Project Characterization Virtual Traffic Signal Presented by: Ron Herman Ofir Shentzer Technion – Israel Institute Of Technology Electrical Engineering.
presented by Zümbül Bulut
BY CHRIS ANDERSON Creating a MIDI Generator Program.
Midterm Presentation 24/05/04 Virtual Traffic Signal Presented by: Ron Herman Ofir Shentzer Instructor: Mr. Mony Orbach Technion – Israel Institute Of.
Performed by: Yuval Peled Gal Gavish Instructor: Hen Broodney המעבדה למערכות ספרתיות מהירות High speed digital systems laboratory הטכניון - מכון טכנולוגי.
ICPCA 2008 Research of architecture for digital campus LBS in Pervasive Computing Environment 1.
CSCI 639 Topics in Software Engineering Assignment #4 Fall 2006.
Transit Traveler Information CEE582. Fixed-Route Central ControlCustomer Information Wireless Data On-Off Load Data Radio/ Message and AVL Transmission.
Lecture 5 Geocoding. What is geocoding? the process of transforming a description of a location—such as a pair of coordinates, an address, or a name of.
Center for Urban Transportation Research | University of South Florida Technology Session: 21 st Annual Transportation Disadvantaged Best Practices and.
Supervisory Systems.
AccuFlight CSE 403. AccuFlight Imagine you are a limousine driver and you are waiting to pick up a particular passenger from the airport. If your passenger’s.
The BusView Project Thomas Kooi James Potter Jesse Fischer Forrest Vines Monzur Muhammad Chris Richards SeattleBusMap.com.
What is Business Analysis Planning & Monitoring?
GIS for the Transit Rider (101) How do I get there? What time is my ride? 1.
Electrical and Computer Engineering Klaus Kristo Clem Leung Adam Frieden Chris Davidson Faculty: Professor Ramgopal Mettu Project: iPlanAhead Comprehensive.
. Center TRACON Automation System (CTAS) Traffic Management Advisor (TMA) Transportation authorities around the globe are working to keep air traffic moving.
How digital management tools like Hootsuite can improve your organization’s communications and messaging. Julio C. Dominguez Internet Media Strategies.
Team/ Individual Name: S.P.A.R.K(students promoting Awareness of Research Knowledge) Members of the Team: S.Deepa, Y.Sowjanya, M.Navya, S.Sowmya. Name.
MOBILE APPS FOR MODERN COMMUTING Tim Kitchell Marketing & Education Specialist 36 Commuting Solutions February 22, 2012.
TransTracker Pilot Usability Study Team: Drew Bregel - Development, Data Analysis Marianne Goldin - PM, UI Tester, Data Gathering, Presenter Joel Shapiro.
NESTS Transit Planning Project Facilities and Technology Briefing with CAST of Cornell University and Creighton Manning Engineering, LLP.
Welcome! 1.Project Description 2.Scope and Approach 3.Prototype 4.Final Evaluation 5.Summary 6.Closing Comments Overview Team Cree Vilia Ingriany Alvin.
Take Me There Drew Bregel Joe Woo Joel Shapiro Marianne Goldin YOUR PUBLIC TRANSIT GURU CSE 441 Winter 2009.
Project Management 101 CS3300 Fall Generic Management Planning Organizing Staffing Leading / Directing Controlling To accomplish goals of an organization.
Patch Based Mobile Sink Movement By Salman Saeed Khan Omar Oreifej.
Computer Science 112 Fundamentals of Programming II Modeling and Simulation.
Electrical and Computer Engineering Klaus Kristo Clem Leung Adam Frieden Chris Davidson Faculty: Professor Ramgopal Mettu Project: iPlanAhead Final Project.
Effort.vs. Software Product “Quality” Effort Product “Quality” Which curve? - linear? - logarithmic? - exponential?
WebScan Change Order. WebScan change order: What is it? Beginning in 2010 changes to a WebScan order will need to be submitted via a WebScan change order.
Project Launch Presentation. Overview  Group Members: Joshua Booth Jiajia Jiang Weijuan Shi  Client: G & T Security.
Bike Day Team: Blue Jens Titterness, Shifan Wu. Advantage (what & why) Mobility o Customized for windows phone o Fully utilize phone features o Easy to.
We can’t walk on water, Trinity Software computer simulation. but we can produce the.
Enabling e-Research in Combustion Research Community T.V Pham 1, P.M. Dew 1, L.M.S. Lau 1 and M.J. Pilling 2 1 School of Computing 2 School of Chemistry.
+ Cab Caddy Helping you find your ride. + Cabbing is Painful Driver not sure if customer will need them when they arrive for pick up Customer not sure.
Vehicle Management And Tracking Software
Capstone Project Fall Course Information Instructor Ye Zhao –Office: MSB 220 – Fall 2015 (MSB162) –Time: Tue, Thu 10:45am.
MEMORY GENERATORS MEMPRO Instructor: Dr. Anthony Johnson Presented by: Rajesh Natarajan Motheeswara Salla.
Real-time Bus Information on Mobile Devices Stuart D. Maclean, Daniel J. Dailey ITS Research Program University of Washington, Seattle, WA.
Pathfinder a cue sheet generator Members: Kurt, Hang, Weston, Jungyul, Ka Long.
Technology Subcommittee November Topical Outline Technology Subcommittee Technology Subcommittee RoleRole Work PlanWork Plan ActivitiesActivities.
1  Problem  Students can’t catch the bus on time  Solution  Provide a new interface to monitor the bus  Notify user when the bus comes HCI Project:
Chapter 5: MULTIMEDIA DATABASE MANAGEMENT SYSTEM ARCHITECTURE BIT 3193 MULTIMEDIA DATABASE.
What is touchPRO EXPRESS? touchPRO EXPRESS is a way for Associations who meet certain criteria to be able to get a mobile app at a low cost and have their.
1 MONALISA Compact Straightness Monitor Simulation and Calibration Week 2 Report By Patrick Gloster.
RunToShop 1: Project plan estimates for the end of the course.
About Blacksburg Transit Started in 1983 Grown from 8 buses to 46 Grown from 3 routes to 12 Operator staff has increased from 26 part-time operators to.
MTA ETA. Product Description A real-time simulation system that estimates the expected time that it will take a certain bus to arrive at an end- user’s.
Intelligent Transport System (ITS) Dr. Ekroop Caur, IAS.
Overview of PROFITsystems’ Integration with DispatchTrack
Senior Project, 2018, Spring To-do List Optimizer 1.0
Chapter 2: Building a System
Transnet Online Track and Trace.
Presentation transcript:

MTA ETA

Product Description A real-time simulation system that estimates the expected time that it will take a certain bus to arrive at an end- user’s location. The system will allow the end-user to search for a certain bus that they are expecting. The system will then give the user a real-time generated map of approximately where the bus currently is located. The user will also be able to enter their starting location and their destination. After inputting this information, the system will give an optimal bus route that should be taken and the estimated amount of time that the trip will take.

Objects in the User’s World Bus  Average Velocity  Current Location  Line number  Route (with initial location = first stop)  Expected Arrival Time (by schedule) Bus Stop  Location  List of buses  Name Route  Name  List of bus stops

Object Relationships World  Bus Stops  The World will contain a list of all of the bus stops. The first item is the Cal State LA. Bus Stop  Bus  Each bus stop will have a list of buses that stop at that certain bus stop. Bus  Route  Each bus has a route (list of bus stops) that it will stop along. Route  Bus Stops  Each route will have a list of bus stops that it goes along.

Data Structures Used List for bus stops List of buses

Dynamics of the System There is an ongoing interaction between the user and the system when the user is on the Next Arrival feature. The feature monitors the bus’s position in real time and gives a real-time arrival estimate. The system interacts with a GPS simulator that keeps track of the bus’s current location. The system does not change itself internally. It simply continues communication between the GPS simulator and itself so as to constantly keep track of the buses.

Schedule – Part 1 Week 3  Outlining requirements from the customers  Brainstorming  Creating the schedule Week 4  Looking for a way to simulate data  Research for tools Week 5  Beginning creating the user interface  Gathering the data to be used  Plotting a coordinate map system for the bus stops

Schedule – Part 2 Week 6  Finish the User Interface  Begin the creation of the simulator Week 7  Begin working on Next Arrival tab  Testing current build Week 8  Working on the Next Arrival tab  Testing current build Week 9  Completing Next Arrival feature  Work on Search tab  Testing current build

Schedule – Part 3 Week 10  Complete the Search tab  Complete testing  Deliver final version CS 437  Make necessary changes to the user interface  Implement the Map tab  Implement the Trip Planner tab  Test the whole system  Use a sample group of people to test the system