rideOS

Accelerating the safe, global adoption of next-generation human-driven and autonomously-controlled transportation

[rideOS @rideOS]

The rideOS Optimization API boosts fleet efficiency, reduces costs, and helps businesses fine-tune their customer experience.

[Bryce Sandlund @brycesandlund]

Excited to be joining the optimization team at @rideOS! Very happy to leverage my research experience into an engineering role.

[rideOS @rideOS]

Last-mile delivery tracking provides dispatchers and customers visibility, transparency, and peace of mind. Check out our delivery tracking tips and see how rideOS can help take the stress out of delivery management. https://t.co/Pkp2rRurOX

[rideOS @rideOS]

@atifmniyaz We will miss you, Atif! Appreciate all that you have done, best of luck in your next endeavor!

[rideOS @rideOS]

Regardless of what type of delivery business you run, delighting your customers is the top priority. Here are some tips on how to provide a 5-star service. https://t.co/hZ0H8NLNSd

[rideOS @rideOS]

Hard to believe it's officially been one year since our team started working remotely! While we can't wait to be back together soon, we reflected on what's changed in making distributed work more sustainable for our team over the past year: https://t.co/9Zb9NpLLXR

[Women In Tech Summit @WomenTechSummit]

In the WITS Spring summit workshop, ""Match-making passengers and vehicles in ride-sharing"" Allison Liemhetcharat will lead attendees through how to program a multi-agent planning algorithm. Register https://t.co/Ehfv1kroSf #WomenInTech #algorithms #MachineLearning #programming

[rideOS @rideOS]

The results of a recent simulation showed that our platform outperformed Google's OR-Tools in the areas of wait time, active time, and fleet utilization. Check out our blog post for the details of the simulation. https://t.co/BlIIVxIW4I

[rideOS @rideOS]

Routing a sidewalk bot from Point A to Point B requires customizable, constraint-based routing and sidewalk basemap.

Check out our most recent blog post to learn how we're solving this problem.

https://t.co/QpZxtfpoFb

[rideOS @rideOS]

Many tech companies are developing autonomous sidewalk delivery robots – a marriage between the burgeoning self-driving and delivery industries. Routing a sidewalk bot, however, comes with several unique challenges.

Thread:

[rideOS @rideOS]

Each specific delivery bot has its own capabilities and limitations. For example, some bots on wheels may not be able to traverse intersections without curb ramps.

[Women In Tech Summit @WomenTechSummit]

Join.this WITS Spring 2021 Virtual Summit workshop with Allison Liemhetcharat Platform Architect @rideOS for an overview of the components of ride-sharing software systems, and how match-making is done for passengers and vehicles. https://t.co/Ehfv1kroSf #WomenInTech #algorithm

[rideOS @rideOS]

We are thrilled to announce that former @uber Chief Product Officer, @manikgupta, has joined the @rideOS advisory board. https://t.co/woUTVhykHh

[rideOS @rideOS]

Read the full blog post here:

https://t.co/cyLfVqi2BS

[rideOS @rideOS]

Ridehail and delivery pick-ups and drop-offs should occur at the entrance to the location, a designated pickup/dropoff area, or at the very least a location easily accessible by foot... but sometimes this doesn't happen because of inaccurate origin coordinates.

Thread:

[rideOS @rideOS]

With naive snapping, an input inside this grocery story snaps to the road in the neighborhood behind the store, which is inaccessible by foot. With the Pickup/Dropoff API, an input inside the store snaps to the road with access to the store’s parking lot.

[rideOS @rideOS]

Full blog post here: https://t.co/XcRZxbVKCZ

[rideOS @rideOS]

Transportation companies are expecting on-demand delivery and transit to rebound in the coming months, yet scheduled tasks are still a crucial aspect of several different markets, including ridehail, delivery, and logistics.

[rideOS @rideOS]

Fleet operators using rideOS technology will now be able to schedule rides, meal deliveries, or other tasks ahead of time by using Time Windows, all while simultaneously optimizing on-demand tasks across their fleet.