Real Time Toll Systems Using Intelligent Decision Algorithms: Dynamic Pricing Model Adaptation

• Author(s): Iyiola Grace Ben
• Paper ID: 1702603
• Page: 116-121
• Published Date: 31-01-2021
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 4 Issue 7 January-2021

Abstract

The increasing demand for effective management of transportation systems has driven the development of real-time tolling systems, which aim to efficiently manage traffic flow and consequently maximize revenue generation by any toll authority. Traditional systems of tolls depend on fixed pricing models that are insensitive to changes in flow patterns, congestion levels, or variability in demand. The inability of traditional systems to respond to such dynamics could lead to inefficient processes for toll collection and suboptimal use of road infrastructure. Real-time pricing in intelligent toll systems driven by algorithms of intelligent decisions is a promising solution to these challenges. It will dynamically offer toll prices subject to the real traffic condition at that instant. These systems deploy data-driven methods to automatically adapt pricing models based on traffic density, weather conditions, time of day, and road usage.

Citations

IRE Journals:
Iyiola Grace Ben "Real Time Toll Systems Using Intelligent Decision Algorithms: Dynamic Pricing Model Adaptation" Iconic Research And Engineering Journals Volume 4 Issue 7 2021 Page 116-121

IEEE:
Iyiola Grace Ben "Real Time Toll Systems Using Intelligent Decision Algorithms: Dynamic Pricing Model Adaptation" Iconic Research And Engineering Journals, 4(7)