<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Research on Project Neodrive</title><link>https://projectneodrive.ch/research/</link><description>Recent content in Research on Project Neodrive</description><generator>Hugo</generator><language>en-us</language><copyright>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</copyright><atom:link href="https://projectneodrive.ch/research/index.xml" rel="self" type="application/rss+xml"/><item><title>Aerodynamic Shape Optimiser</title><link>https://projectneodrive.ch/research/aero-optimizer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://projectneodrive.ch/research/aero-optimizer/</guid><description>&lt;p&gt;&lt;strong&gt;Status:&lt;/strong&gt; in development&lt;/p&gt;
&lt;p&gt;Given an STL describing the volume that must fit inside (people, cargo, wheels, mechanism), search for the enclosure shape that minimises drag area.&lt;/p&gt;
&lt;hr&gt;
&lt;h2 id="why-this-tool"&gt;Why this tool&lt;/h2&gt;
&lt;p&gt;&lt;a href="https://projectneodrive.ch/physics/"&gt;Chapter 5&lt;/a&gt; makes the case that above 20–30 km/h aerodynamic drag already dominates rolling resistance, and that shape and frontal area matter more than powertrain efficiency for a vehicle in this class. Solver exist but are not easy to use. The goal is to provide a tool that will both compute the drag force on an existing vehicle and given everything that must fit inside, what is the lowest-drag skin that contains it?&lt;/p&gt;</description></item><item><title>Véli Routing Engine</title><link>https://projectneodrive.ch/research/routing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://projectneodrive.ch/research/routing/</guid><description>&lt;p&gt;&lt;strong&gt;Status:&lt;/strong&gt; in development&lt;/p&gt;
&lt;p&gt;Navigation for vehicles that are neither bicycles nor cars: wider than a bike, slower uphill, faster downhill, and stopped by obstacles no existing router models.&lt;/p&gt;
&lt;hr&gt;
&lt;h2 id="why-this-tool"&gt;Why this tool&lt;/h2&gt;
&lt;p&gt;Every routing engine assumes you are one of three things: a car, a pedestrian, or a bicycle. An intermediate vehicle is none of them. Thats how your GPS send you on a path with fense designed to make cyclist slow down and dismount their bicycle but your velomobile don&amp;rsquo;t have the maneuvrability necessary.&lt;/p&gt;</description></item><item><title>Modal Shift quantification</title><link>https://projectneodrive.ch/research/modal-shift-sim/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://projectneodrive.ch/research/modal-shift-sim/</guid><description>&lt;p&gt;&lt;strong&gt;Status:&lt;/strong&gt; in development, expected for january 2027&lt;/p&gt;
&lt;p&gt;Estimating how many car trips an intermediate vehicle could realistically absorb, and what that would mean in emissions, energy, and material terms.&lt;/p&gt;
&lt;hr&gt;
&lt;h2 id="why-this"&gt;Why this&lt;/h2&gt;
&lt;p&gt;The whole project rests on a quantitative claim: that a meaningful fraction of car trips could be served by a much smaller vehicle, and that the resulting reduction in externalities is large enough to justify the effort.&lt;/p&gt;
&lt;p&gt;&lt;a href="https://projectneodrive.ch/problem/"&gt;Chapter 1&lt;/a&gt; states that claim. This tool is how we find out whether it survives contact with real mobility data instead of remaining an assertion.&lt;/p&gt;</description></item></channel></rss>