Title page for ETD etd-03122013-040232


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
Abstract
Information 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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