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GO-T O

Tired of traffic on a rainy day on your usual commute? Check out Go-to; it predicts and informs you of travel times for the next working day so you can get up and leave minutes earlier to avoid traffic! T HE PR OBLEM

Highway Congestion Negatively Affects People’ s Lives 50%

FACT S

$ 1,445

126%

6.3 million

The average C hicago commuter lost $1,445 in time nd gas last year because of congestion. The U.S . average was $960

R EASON OF CONGEST ION

7% 10%

15%

congestion of road costs drivers and passengers 16.9 million hours' worth of time,.

More than 6.3 million gallons of fuel is wasted on that 12-mile stretch while cars sit or crawl in traffic.

travel demand increased 126 percent but the number of lane miles increased by just 57 percent

5%

16.9

CONGEST ION EFFECT S DUE T O ACCIDENT S AND WEAT HER

Special events T r affic signaling Wor k zones Bad weather

25%

T r affic incidents

40%

Bottlenecks

HOW GO-T O WOR K S? API is available to the public as a way to access certain data for applications on many different platforms such as the web or mobile phones. With the API we are making requests for specific information to provide a proof of concept for our idea. C urrently we chose 5 large suburbs for our routing tests and we are comparing traffic patterns with weather patterns as well as visibility for drivers.

WHAT IS GO-T O?

GO TO

Go-to is a navigation mobile application that informs users of predicted travel times and congestion incorporating weather condition probability and real time incidents and work zones

FEAT UR ES OF GO-T O > S ave locations > Be notified of departure time > C ustomize filters

IIT / IPR O397 / 20 16FALL

E xisting Application E xis ting navigation apps such as Waze, Google Maps and Here do not inform drivers of real time driving condition.

J unr u Xu

Difference Here uses s ens or data from specific vehicle models and shares the information with other vehicles of the same model. APP uses predicted weather data to approximate traffic conditions using regression analysis and forecasting models.

Dor othy Mei Lim Nicholas Stanek

K halid Salah


IIT /  IPRO 397  /  2016 FALL


GO-TO A PLATFORM TO HELP YOU KNOW WHEN TO START YOUR DAY

ABSTRACT We are working towards alleviating traffic congestion during peak commuter hours. Our team believes firmly that if we could successfully notify commuters when they should leave for their daily commuter, we can effectively reduce traffic congestion by a significant margin. Our solution requires a lot of data to be factored in, using the HERE Routing and Weather API we are collecting data during the busiest traffic times between Chicago and multiple suburbs. 


Highway Congestion Negatively Affects People’s Lives

THE PROBLEM

FACTS

1

50%

126%

travel demand increased 126 percent but the number of lane miles increased by just 57 percent

$1,445 The average Chicago commuter lost $1,445 in time nd gas last year because of congestion. The U.S. average was $960

3

2

6.3 million More than 6.3 million gallons of fuel is wasted on that 12­mile stretch while cars sit or crawl in traffic.

16.9 congestion of road costs drivers and passengers 16.9 million hours' worth of time,.

4


REASON OF CONGESTION 5%

7%

10%

15%

25%

40%

Special events Traffic signaling Work zones Traffic incidents Bottlenecks Bad weather

CONGESTION EFFECTS DUE TO ACCIDENTS AND WEATHER

Seasonal changes has a drastic effect on traffic. In the winter months, on average there is one hour less congestion per weekday than in the summer months.

According to Texas A&M Transportation Institute, for every minute a highway lane is blocked, 4 minutes of delay result after the incident is cleared. Accounts for 4 billion hours of delay yearly Accidents in 2005 cost about 164.2 billion dollars which amounted to around 70 billion dollars worth of delays


SOLUTION----GO-TO

GO TO

What is Go­To? Go­to is a navigation mobile application that informs users of predicted travel times and congestion incorporating weather condition probability and real­time incidents and work zones .

FEATURES OF GO-TO

Existing Application

Difference

Existing navigation apps such as Waze, Google Maps and Here do not inform drivers of real­time driving condition.

  Here uses sensor data from specific vehicle models and shares the information with other vehicles of the same model. APP uses predicted weather data to  approximate traffic conditions using regression analysis and forecasting models.

Save locations

Be notified of   departure time

Customize filters


User  Journal without GO­TO

Depart as usual

stuck in traffic late  for work

late due to congestion 

User  Journal with GO­TO

Depart with alarm

On time

Arrive home on time

more down time

Saves frequent  locations

Predict Depart time with alarm   Predict weather condition in highway

HOW GO-TO WORKS? Weather data will be obtained from National Centers for Environmental Information. Estimated travel time will be obtained using regression analysis and forecasting models.

Incidents data will be contained from API. API is available to the public as a way to access certain data for  Applications on many different platforms such as the web or mobile phones. With the API we are making requests 5for specific information to provide a proof of concept for our idea.  Currently, we chose five large suburbs for our routine tests and we are comparing traffic patterns with weather patterns as well as visibility for drivers.


WHO WILL IT AFFECT ? ·     Target audience:               regular users (drivers who use road networks daily) ·     Secondary audience:        irregular users (drivers who use road networks occasionally) ·     Stakeholders:                    regular and irregular users, local department of transportation

WHAT WILL IT AFFECT ?

adoption

congestion reduction

time reduction

5%

5%

15%

10%

10%

18%

25%

25%

22%

HOPE OF THE PROJECT The hope of this mobile app is to alleviate congestion on the road networks with users being informed of real time road conditions. 

·  To help users get to their destination with minimal congestion from origin to destination    and with the least amount of time and gasoline.


Team members Junru Xu: Junru is a fourth­year student in Architecture program. She is a transfer student from China and skillful in many graphic programs. Junru is a responsible, work hard partner in the team with honor to make the project great. She is responsible for editing graphic images and making posters and booklets visible in the team.

Nicholas Stanek : Nicholas Stanek is in his third year in the Electrical Engineering program. He is pursuing signals and communication as a degree specialization. He is a very reliable person and very ambitious to achieve new goals.. Khalid Salah: Khalid is pursuing a Bachelor’s of Information Technology and Management. He is goal­oriented with a desire to learn and contribute towards a possible working solution.  Dorothy Lim is a fourth year Civil Engineering undergraduate. She hopes to be a licensed structural engineer and works hard towards that goal. She is independent, has good follow through and is stubborn and determined to achieve her plans.


conference National Weather Service Corporate Image Web Team. "NOAA Graphical Forecast for Central Mississippi Valley." NOAA Graphical Forecast for Central Mississippi Valley. N.p., n.d. Web. 9 Oct. 2016. Memmott, Jeffrey. "BTS Technical Report: Seasonal Variation in Traffic Congestion: A Study of Three U.S. Cities | Bureau of Transportation Statistics." BTS Technical Report: Seasonal Variation in Traffic Congestion: A Study of Three U.S. Cities | Bureau of Transportation Statistics. N.p., Aug. 2008. Web. 15 Sept. 2016. McKenzie, Brian. Who Drives to Work? Commuting by AUtombile in the United States: 2013(n.d.): n. pag. Aug. 2015. Web. 17 Sept. 2016. "JavaScript API." JavaScript API from HERE Maps ­ HERE Developer. N.p., n.d. Web. 26 Oct. 2016. http://www.city­data.com/accidents/acc­Chicago­Illinois.html http://www.idot.illinois.gov/transportation­system/safety/highway­safety­plan https://www.travelmidwest.com/lmiga/map.jsp?mapname=eventMap&id=IL­ TESTTIMS­ROADWORK.2016.4.21.16.1942174 https://www.travelmidwest.com/lmiga/constructions.jsp? location=GATEWAY.IL.I­90 https://www.travelmidwest.com/lmiga/congestions.jsp? location=GATEWAY.IL.I­90 //www.nerdwallet.com/blog/loans/worst­cities­for­car­drivers­2015/https: http://www.isasce.org/wp­content/uploads/2014/04/2014­Illinois­Roads­Final­ Report.pdf Metropolitan Planning Council. (2008). Moving at the speed of congestion. Retrieved from https://www.metroplanning.org/uploads/cms/documents/mpcreport_movingatt hespeedofscongestion.pdf

Profile for Junru Xu

UI/ UX design _app design  

UI/ UX design _app design  

Profile for junruxu8
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