As an introduction to our automated dispatch assignment system, this article covers the system overview, assignment logic, monitoring approach, and our plan to introduce deep reinforcement learning.
I had been thinking about flexible system customization using JsonLogic as a topic for a tech blog post, but I wanted to add an extra twist. I wondered what would happen if I combined it with the recently popular ChatGPT, and the results were surprisingly good — so I rewrote the post with a new title.
This article explains the design of NearMe's external API platform for ridesharing services, including tenant setup, authentication, webhooks, and the relay service between internal and external APIs.
In this article, I will explain NearMe's CI architecture. We implemented CI using Argo running on Kubernetes.
In our service, we accumulate advance reservations and, each time a new order arrives, compute the best ride-sharing combination so dispatch decisions can be made incrementally. This article looks at the kinds of patterns that emerge in this process.
In this article, we look at the analogy between Kubernetes and dispatch routing.
In this article, we forecast ride demand for an advance-booking mobility service using time-series analysis.