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.
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]
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]
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]
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).
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
http://www.pcmag.com/article2/0,2817,2334448,00.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 511.org 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 |
Philly.com
|
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
19.01.2009
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.
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."
Last Modified: Wed Jan 28 16:56:35 EST 2009 Maintained by: Ivan Marsic