DEVELOPMENT OF INTELLIGENT VEHICLE-PEDESTRIAN TRAFFIC CONTROL SYSTEM FOR IMPROVED SAFETY
DEVELOPMENT OF INTELLIGENT VEHICLE-PEDESTRIAN TRAFFIC CONTROL SYSTEM FOR IMPROVED SAFETY
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Date
2017-10
Authors
OLANREWAJU, OYENIKE MARY
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Abstract
Walking as a mode of transportation has many benefits for pedestrians and the society. Yet, pedestrians are a vulnerable group and safety concerns are a significant barrier to walking especially as vehicle volume increases. Although multiple countermeasures have been proposed to promote pedestrian safety, pedestrian crash rates across the globe indicate that more research is required on pedestrian safety as vehicular volume increases. Transportation Research so far covers congestion reduction, environmental pollution control and signal control system to make vehicular traffic more convenient without adequate consideration for pedestrian right of way. Intelligent transportation research mostly focuses on sensitive system that manages signal timing for vehicular signals. Most research towards pedestrian identify the need for safety by analyzing crash data without proffering adequate solution to vehicle-pedestrian crashes that result from prolonged pedestrian delay. Most transportation and town planners design roadways without sufficient consideration for pedestrians; hence there exist highways with multiple lanes without pedestrian facilities. It is therefore very necessary to have a traffic model that considers pedestrian characteristics as well as vehicle characteristics to harmonize the conflicting interest of waiting pedestrians and driver satisfaction to improve safety. This research work designed an architectural framework that comprises vehicular/pedestrian modules and a reasoner. An intelligent fuzzy logic model was developed to implement the reasoner that harmonizes both vehicle and pedestrian characteristics to dynamically control the signal timing. A four way intersection was modeled in VerkehrInStadten-SIMulationsmodell (VISSIM) traffic simulator to implement the road network. The traffic network was implemented as unsignalized, signalized fixed time traffic control and as Fuzzy Intelligent Traffic Control (FITC). From the evaluation of the system, the FITC achieved average improvement of 53.19% over fixed time traffic control, FITC Pedestrian delay improved by 13.13% over fixed time, hence a potential crash rate reduction from 2.83% to 0.37% using crash data obtained from Federal Road Safety Corps (FRSC) records. Calibration of traffic model volumes also gave acceptable Geoffrey E. Havers (GEH) value of less than 5.0.
Description
A DISSERTATION SUBMITTED TO THE SCHOOL OF POSTGRADUATE STUDIES, AHMADU BELLO UNIVERSITY, ZARIA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE AWARD OF DOCTORATE DEGREE IN COMPUTER SCIENCE
COMPUTER SCIENCE DEPARTMENT
FACULTY OF PHYSICAL SCIENCES
AHMADU BELLO UNIVERSITY, ZARIA
NIGERIA
Keywords
DEVELOPMENT,, INTELLIGENT VEHICLE-PEDESTRIAN TRAFFIC,, CONTROL SYSTEM,