Member-only story

IoT and Data Streaming with Kafka for a Tolling Traffic System with Dynamic Pricing

Kai Waehner
9 min readJan 31, 2025

--

In the rapidly evolving landscape of intelligent traffic systems, innovative software provides real-time processing capabilities, dynamic pricing and new customer experiences, particularly in the domains of tolling, payments and safety inspection. With the increasing complexity of road networks and the need for efficient traffic management, these organizations are embracing cutting-edge technology to revolutionize traffic and logistics systems. This blog post delves into success stories from Quarterhill and DKV Mobility providing traffic and payment systems for tolls. Data streaming powered by Apache Kafka has been pivotal in the journey towards building intelligent traffic systems in the cloud.

Join the data streaming community and stay informed about new blog posts by subscribing to my newsletter and follow me on LinkedIn or X (former Twitter) to stay in touch.

Traffic System for Tolls: Use Case, Challenges, and Business Models

Tolling systems are integral to modern infrastructure by providing a mechanism for funding road maintenance and expansion. The primary use case for tolling systems is to efficiently manage and collect tolls from vehicles using roadways. This involves roadside tracking, back-office…

--

--

Kai Waehner
Kai Waehner

Written by Kai Waehner

Technology Evangelist — www.kai-waehner.de → Big Data Analytics, Data Streaming, Apache Kafka, Middleware, Microservices => linkedin.com/in/kaiwaehner

No responses yet