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Abstract

This study explores the potential impact of implementing AI-based public transportation management systems in Zimbabwe to address inefficiencies caused by rapid urbanization and increased demand. AI technology can enhance fleet management, scheduling, and route planning, leading to improved efficiency and sustainability in public transport. The findings suggest that AI can provide real-time updates to travelers and assist transportation authorities in forecasting demand trends, ultimately contributing to more resilient transport networks.

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Lucia Makwasha
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4 views1 page

Abstract

This study explores the potential impact of implementing AI-based public transportation management systems in Zimbabwe to address inefficiencies caused by rapid urbanization and increased demand. AI technology can enhance fleet management, scheduling, and route planning, leading to improved efficiency and sustainability in public transport. The findings suggest that AI can provide real-time updates to travelers and assist transportation authorities in forecasting demand trends, ultimately contributing to more resilient transport networks.

Uploaded by

Lucia Makwasha
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOC, PDF, TXT or read online on Scribd
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Exploring the impact of implementing AI in road traffic systems in

Zimbabwe

Abstract:

The swift urbanisation that Zimbabwe is experiencing has increased demand for effective
public transport networks. The purpose of this study is to investigate the feasibility and
potential impact of implementing AI-based public transportation management systems in
Zimbabwe. Unfortunately, the growing population is outpacing the current infrastructure,
leading to inefficiencies and traffic jams. This study suggests utilising artificial intelligence
(AI) technology in public transport administration to improve efficiency and sustainability in
Zimbabwean public transport.AI algorithms have the ability to improve fleet management,
scheduling and route planning. Artificialintelligence (AI) systems are able to dynamically
modify routes and schedules in order to minimise waiting times and traffic congestion. AI-
powered predictive maintenance can assist in preventing malfunctions and delays,
guaranteeing more efficient operations and increase reliability of public transport systems.
Transportation authorities may use AI driven predictive analytics to forecast future demand
trends and modify their plans accordingly. Findings show that with this technologythrough
mobile apps, travellers can receive real time updates. This can help in improving traffic
congestion in the busy routes.The study contributes in designing resilient and sustainable
transport networks that satisfy changing urban population demandsby policymakers and
urban planners.

Keywords: public transport, artificial intelligence, routes, Infrastructure

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