Sense Making - Occurrence of Traffic Jam at BusStops and ROI
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Transcript of Sense Making - Occurrence of Traffic Jam at BusStops and ROI
SENSE MAKINGANDINSIGHTS DISCOVERY
PRESENTED BY TEAM 2Ankur GaurMallikarjun Pillala MarriPandian GanesanRajat KumarWei Sheng ChanYang Ying
PROJECT FOR LAND TRANSPORT AUTHORITY
AGENDA
• Objective• Problem Descriptions• Strategy to tackle the problem• The Mechanics And Mathematics• Model Evaluation• Event Processing Network
PROJECT OUTLINE
Reducing the Occurrence of traffic
jamsat Expressways
for Drivers
Reducing the Occurrence of traffic
jamsat Bus-Stops/ROI
for Commuters/Taxis
OBJECTIVE
To improve the estimated
bus arrival time, so
commuters can make
proper decision.
To prevent area of
interests to be overly-
populated by taxis.
PROBLEM DESCRIPTION (1/2)Accurate bus timing is crucial to daily commuter lifestyle.• If the bus service is not coming in schedule, it raises a few
doubts in our mind: • Did I just missed the bus? • Should I continue waiting, probably it is late? • Or, should I take another incoming bus service
which would take a longer route to my workplace? • Did I just missed the last bus of the day? • Should I take cab going home instead, or wait?
•We prefer prompt update.
PROBLEM DESCRIPTION (2/2)
• During peak hours, certain area will be over-populated by taxis due to huge taxi demand. • Often, bus stops and taxi stands are next to each other. • Long taxi queue in taxi stand eventually hinders any bus
from entering the bus stops.
PROBLEM DESCRIPTION (2/2)
STRATEGY TO TACKLE THE PROBLEM
BUSES• EPN• Trigger if Bus Est Time
delay is significant• INSIGHTS • Under-Perform Bus
Services
TAXIS• EPN• Trigger if ROI Heat Value
goes beyond certain threshold
• INSIGHTS• To visualize in real-time,
the heat flow of ROI
THE MECHANISM AND MATHEMATICS (TAXI)
MODEL EVALUATION• Heat Value Only
(No Model)
• ARIMA Model
• Moving Average
• 1st Order Time Series Differencing
THE MECHANISM AND MATHEMATICS (BUS)
EVENT PROCESSING NETWORK
EVENT PROCESSING NETWORK
EVENTPRODUCER
EVENTCONSUMER
EVENTPROCESSING AGENT
• BUS STOPSSerangoon StnClementi StnAXA Tower (Shenton)Paya Lebar Stn6th Avenue StnMarsiling StnSuntec Conv CenterYew Tee StnLornie RoadEsplanadeChina Town
DATA VISUALIZATION / INSIGHTS• BUS STOPS
HarbourFront StnKhatib StnSengkang InterchangeMediaCorpTiong Bahru PlazaRedhill StnKallang StnTangs PlazaLucky Plaza
• REGION OF INTERESTSClementi StationSerangoon StationMarina Bay SandsSuntec Conv Center
• CHANGI ??
Data Source:LTA API Bus Arrival Time, Taxi Availability
DATA VISUALIZATION / INSIGHTS
DATA VISUALIZATION / INSIGHTS
CHALLENGES
• Event Streaming for all bus stops every minute• Using Heat Value to portray Taxi Demand and Supply• Gaussian curve as Radial Basis Function
(Hyperbolic Secant Distribution)
APPENDIX: ETL PROCESS
THANK YOU