Type of Document Master's Thesis Author Shankar, Sanjeev URN etd-03122013-040232 Title Analysis of microprocessor based vehicular instrumentation and automatic passenger counting systems Degree Master of Science Department Electrical Engineering Advisory Committee
Advisor Name Title Nunnally, Charles E. Committee Chair Hobeika, Antoine G. Committee Member Tront, Joseph G. Committee Member Keywords
- Digital counters
Date of Defense 1985-08-05 Availability restricted AbstractInformation on transit ridership and operations is a
necessary condition as far as efficient management is considered.
Transit managements on the acquisition of such a
data base can confirm predictions about scheduling, receive
warnings about potential dangers and plan future operations
on a much broader and precise base. Data from passenger counts provide essential information to marketing and scheduling
personnel by identifying peak load-points and the such.
Using manual collection methods for such data is expensive
and prone to human errors. Automatic Passenger Counting
(APC) systems are viewed as an improved and economical technique
for data collection. Such systems monitor the progress
of a particular vehicle -- its position, number of passengers
getting on and off, times and distances between stops -- and
make this data available for processing. These are state of
the art systems, mostly microprocessor based and often embracing
a modular structure. The Red Pine system is such a system with different dedicated modules for each bank of
tasks. Multitasking software is seen to be an powerful tool
for such systems and simplify the architecture of the system
hardware. A CHMOS hardware design, suited for multitasking
softwares is provided. Interfacing software for the Red Pine
system has been developed and is explained. Debugging testing
and simulation of the Red Pine hardware is detailed.
Modifications have been recorded and improvements suggested.
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