Software Engineering Project:   Traffic Monitoring

1.   Project Description

The primary function of this system is to inform user about road and traffic conditions in the area of interest, by taking into account historic traffic and weather information.
Detailed project description is available in this PDF document.
Also see the book, Section 1.5.3  Traffic Monitoring;   Problem 2.6 and its solution on the back of the book.

2.   Download Materials

Spring 2013 Semester

Group #7

Developed in the Spring 2013 semester by Kevin Hsieh, John Reed, Geoff Oh, Mike Simio, Peter Lin, and Matt Araneta

Project report #3 (final), group #7, Spring 2013
[PDF document; size: approx 6 MBytes]

Project files, group #7, Spring 2013, in case you want to install the full software locally on your computer.
[ZIP file; size: approx 26 MBytes]

Spring 2011 Semester

Group #7

Developed in the Spring 2011 semester by Vamshidhar Chilukamari, Aditya Devarakonda, Vladimir Samokhin, Akhilesh Maddali, and Sanket Wagle

Project report #3 (final), group #7, Spring 2011
[PDF document; size: approx 3 MBytes]

Project files, group #7, Spring 2011, in case you want to install the full software locally on your computer.
[ZIP file; size: approx 12 MBytes]

Spring 2007 Semester

Developed in the Spring 2007 semester by Jon Lipovac

Project report #3 (final), Spring 2007
[PDF document; size: approx 4.3 MBytes]

Project files, in case you want to install the full software locally on your computer.
[ZIP file; size: approx 4.7 MBytes]   Contains the following files:

Traffic and weather reports collected in Spring 2007
[SQL database tables; size: approx 24 MBytes]

Spring 2006 Semester

Traffic reports collected in Spring 2006.
Contains only the ZIP codes in Middlesex County, New Jersey.
[SQL database table; size: approx 5 MBytes]

Java class for decoding the Google Maps polyline.
The polyline of the directions returned by Google Maps appears to be coded for data compression, rather than for secrecy.
Note: This Java file is downloaded from the web (will be properly acknowledged).

3.   Relevant Websites

Ideally, all vehicles on the road should contribute to the model by continuously reporting traffic data. Inrix’s “Smart Dust Network,” is a system in which 500,000 vehicles across the U.S. report their GPS location and speed. Inrix combines this technology with their proprietary prediction algorithms to provide real-time and forecasted traffic to broadcasters and navigation systems via Clear Channel’s “Total Traffic Network.” This proprietary prediction algorithm utilizes an advanced Bayesian statistical model originally developed by Microsoft (see here).
Another company, Triangle, provides similar technology covering a number of metropolitan areas (see here).

Cell Phones Linked to Track Real-Time Traffic
PC Magazine (11/10/08) Hachman, Mark,2817,2334448,00.asp
The Mobile Millennium trial, a real-time wireless traffic network for San Francisco, launched this month and will link together GSM-based cell phones equipped with special software. The pilot project, which hopes to have 10,000 participants by April, will be a real-world test of the technology used in the Mobile Century trial last February. The Web site already provides real-time traffic information in the region based on data from FastTrak transponders, which are used for paying bridge tolls. The cell phone-based method will be less expensive and will not be limited to major freeway infrastructure. Organizers say the Mobile Millennium project will focus at first on commuters who drive between the Bay Area and the Lake Tahoe ski area, with the first phase limited to highways while later phases will add arterial routes. The software used for Mobile Millennium is called Virtual Trip Lines, which organizers called “a data sampling paradigm that anonymizes the GPS-based position information and aggregates it into a single data stream.” This data is combined with other traffic data and then broadcast back to the phones and the Internet. A customized urban-focused version of the system, which models traffic in lower Manhattan, also is under development.

Smart Roads. Smart Bridges. Smart Grids.
If we are going to spend billions of dollars to fix our ailing infrastructure, let's make sure we do it right. Here are the technologies to make that happen.
by Michael Totty; February 17, 2009
In the cover story for a Wall Street Journal (2/17, R1) special report on Technology, Michael Totty examines the promise of "smart" infrastructure. On "smart-grid" technology, he writes, "The first step is installing advanced electric meters that send a steady stream of information back to the utility." Totty continues, "Next, a new generation of smarter appliances could help consumers curtail energy use and help utilities reduce pressure on the grid." Totty adds, "A smarter grid could also help manage the increased use of wind and solar power. Since these alternative-energy sources can rise or fall abruptly, utility operators are forced to ramp up other power sources or reduce demand quickly to make up for the loss." Both "rechargeable batteries that can store power when winds are high and can automatically send power back to the grid when the wind drops" and "smart meters and appliances that can be controlled remotely by the utility to reduce demand if necessary" are in testing.

NYCDOT - Real Time Traffic Cameras Advanced Traveler Information System (ATIS) video streaming serves New York City residents by helping them get quickly through their everyday commute.

Congested NJ highway I-78 to get signs to ease traffic. (February 12, 2009)
New Jersey transportation officials hope to unclog one of the area’s most congested highways by posting travel times on overhead electronic message boards. The goal is to help drivers decide whether to use inner express lanes or outer local lanes, which could help minimize delays.
Read more on:   MSNBC   |   |   Forbes   |   The Evening Sun, PA

Real-time traffic is in data stream
Satellite radio add-on disappointing
by Mark A. Kellner, Washington Times; Wednesday, July 2, 2008
The idea is to take all sorts of streams of traffic data and bring the information to the car in time for you to do something about it, using data from Navteq Traffic, the Chicago-based firm that collects traffic data from road sensors, transportation departments, police and emergency services, cameras and airborne reporters.
Bottom line: I’d consider NavTraffic, but I’m hoping to see much more in the way of real-time reporting, and, frankly, real-time alternatives.
One alternative may come from Silicon Valley-based Dash Navigation. The $399 Dash Express is what the firm calls “the first-ever Internet-connected GPS device,” delivering data similar to that of NavTraffic but via a cellular data connection and with feedback from other Dash Express drivers in the area. If you’re three miles ahead of me and hit a rough spot, your Dash GPS will send a report that I’ll see on my Dash GPS, or so claims Robert Acker, the firm’s marketing vice president

High-Tech Solutions Ease Inaugural Challenges
Transportation and security officials on Inauguration Day will have a centralized, consolidated stream of traffic information and other data displayed on a single screen using software developed by the University of Maryland. The Regional Integrated Transportation Information System (RITIS) gives officials a single real-time view far more comprehensive than previously available.

3.1   Tangentially Relevant Links

Researchers applying P2P to traffic control
University of California, Irvine researchers are applying lessons learned from music and video peer-to-peer file transfer networks to a system for reducing traffic jams on...
(Wireless research at Rutgers University is also highlighted!)

MIT Launches Coordinated Effort To Address Transportation Issues
MIT launches collaborative effort to tackle the world's transportation problems
By Associated Press; March 4, 2009
The AP (3/5) reports, "Top minds at the Massachusetts Institute of Technology are pulling together to tackle the world's transportation problems. The university on Wednesday announced the creation of Transportation(at)MIT, a coordinated effort among MIT's engineering, architecture and management schools." And, "plans are under way to establish two laboratories, one in Cambridge and one outside the U.S."

See also
MIT takes on global transportation challenge

[PDF document] Communicate Traffic related Information
a thesis by Elias Arnestrand, Uppsala Universitet, Sweden, July 2005.

Classification for traffic related inter-vehicle messaging
by Florian Dvtzer, Markus Stra_berger, Timo Kosch; BMW Group Research and Technology, Germany, June 2005.

Instantaneous information propagation in a traffic stream through inter-vehicle communication
by Wen-Long Jin and Wilfred W. Recker; Transportation Research, Part B: Methodological, volume 40, issue 3, pages 230-250, March 2005. || check also here.

Engineers Developing Wireless Sensors To Monitor Bridges
Researchers turn to wireless and green technologies to monitor bridges
Sindya Bhanoo, The Industry Standard, 01.26.2009
Industry Standard (1/26, Bhanoo) reported, “Engineers at University of Texas at Austin are trying to design small wireless sensors to monitor bridges. The university has been awarded a $3.4 million grant from the National Institute of Standards and Technology to help develop the bridge monitoring systems” through “a collaboration between several different departments at UT, including civil, electrical and mechanical engineering.” The research teams “will work together to develop a network of low-power wireless sensors that can be placed on existing bridges. The sensors will continuously monitor existing bridges for fractures,” and are expected to be powered by either “solar or wind energy.” In addition to technology for existing bridges, “the engineers will also develop technology for bridges that are not yet built. These sensors will be placed inside of bridges.”

Software Helps Highway Crews Deal With Snow Drifts
UB Software Helps Highway Crews Deal with Snow Drifts
by Mark Scott, 2009-02-02
WBFO-Radio, the NPR member station for Buffalo, New York (2/2) reported, "University at Buffalo (UB) engineers have developed computer software to help road crews better deal with blowing and drifting snow." The program, called "Snowman," is "a user-friendly software package to help highway personnel find the precise areas where snow fences would be more effective at reducing snow drifts." With the "software—which includes data about snowfall rates and wind velocities combined with the principles of mechanics—crews can now be precise without much trial and error." According to UB Civil Engineering Professor Stuart Chen, "the software is also useful to highway engineers who are designing new roadways."

"SnowMan" Software Developed at UB Helps Keep Snow Drifts Off the Road
Germany’s Innovations Report (2/2, Goldbaum) added that SnowMan “puts cost-effective solutions to the snow drift problem at the fingertips of highway designers and road maintenance personnel. ... Funded, designed and implemented” for the New York State Department of Transportation (NYSDOT), “the computer-aided design software is completely adaptable to wherever blowing and drifting snow is a problem.” Joseph F. Doherty, senior civil engineer, operations division, NYSDOT, said, "The NYSDOT believes that the SnowMan software will significantly advance the implementation of passive snow-control measures both within New York State and nationwide."


Project Group 2009

Last Modified: Wed Jan 28 16:56:35 EST 2009

Maintained by: Ivan Marsic