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TABLE I VEHICLE AND TRAFFIC PARAMETERS

in Impact of Transmission Power on TCP Performance in Vehicular Ad Hoc Networks
by Andrew Chen, Behrooz Khorashadi, Dipak Ghosal, Chen-nee Chuah 2007
Cited by 1

Table 1 Killed and injured in vehicle traffic crash

in
by unknown authors 2006
"... In PAGE 2: ...oi:10.1016/j.jpdc.2006.10.003 and fatalities ( Table1 ) and the serious asset damage result in enormous economic loss, which further emphasizes the impor- tance of new technology to roadway safety. On November 18, 2003, a novel roadway safety philoso- phy called Zero Fatality, Zero Delay was proposed at the World Congress on ITS (Intelligent Transportation Systems and Services) in Madrid, Spain.... ..."

Table 9 Motor Vehicle Traffic Accidents: Highest Positive Rule Weights

in Knowledge Discovery in Mortality Records: An Info-Fuzzy Approach
by Mark Last, Oded Maimon, Abraham Kandel, Abraham K

Table 1: Traffic data: Average of vehicle speed at loops in each 15-min interval. (unit : mph)

in III, “Optimal Vehicle Routing with Real-Time Traffic Information,” (2003), submitted for publication
by Seongmoon Kim, Mark E. Lewis, Chelsea C. White Iii 2002
Cited by 4

TABLE III AVERAGE AND STANDARD DEVIATION FOR VEHICLE DELAY FOR A FOUR INTERSECTIONS WITH MORE HORIZONTAL TRAFFIC (CALCULATED OVER 50 SIMULATIONS)

in Urban Traffic Control Based on Learning Agents
by Pierre-luc Grégoire, Charles Desjardins, Julien Laumônier, Brahim Chaib-draa

Table 6. Components of traffic messages.

in Driver Performance and
by Memory Traffic Messages, Jill Fleming, Jill Fleming, Jill Fleming, Paul Green, Paul Green, Paul Green, Stewart Katz, Stewart Katz
"... In PAGE 23: ... An incident description was possibly accompanied by blockage information, service vehicle information, and traffic backup information. Table6 shows the possible components of the traffic message based on the cause of congestion. ... ..."

Table 2: Trafficability constraints

in Qualitative Spatial Reasoning about Sketch Maps
by Kenneth Forbus
"... In PAGE 5: ... Since moving on foot is funda- mentally more flexible than vehicles, our qualitative trafficability theory simplifies the vast array of units into two distinctions: armor versus infantry. Table2 shows the trafficability implications of the terrain types in nSB. ... ..."

Table 1: Limits for the Distance to the Leading Vehicle

in Urban Traffic Simulation With Psycho-Physical Vehicle-Following Models
by Thomas Schulze, Thomas Fliess 1997
"... In PAGE 2: ... The acceleration of the vehicle will be newly recalculated and shall then be constant until the driver has to react to new traffic conditions. Table1 lists the different limits for the distance to the predecessor (leading vehicle). Limits for distances depend on the current speed of the vehicle and a vehicle specific time gap.... ..."
Cited by 6

TABLE IV-4 COMPARISON OF MODELED TO COUNTED TRUCK TRAFFIC VOLUMES Vehicle classification Average count % RMS error-truck count % RMS error-percent of volume Single-unit trucks 406 39%

in Staff Report On The 1994 Calibration/validation Of The Traffic Forecasting Model For The Cedar Rapids Metropolitan Area To 1994/1993 Traffic Counts And Travel Time Surveys
by Prepared By The, Sam Granato, Transportation Coordinator

Table 6.2 Traffic generated in moving state (avg. bytes/s) No. of vehicles Status msg. Command msg. Command status msg.

in University advisor(s):
by Frans Mårtensson, Per Jönsson, Frans Mårtensson 2002
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