Night Race Overview
Main race-view still showing the neon city atmosphere, HUD readability, and sense of speed.
Street Racing
Velocity Underground
Velocity Underground is a fast-paced street racing experience set across a neon-lit city where players compete in underground events, improve their vehicles, and climb through the racing scene. The project focuses on responsive arcade-style vehicle handling, high-speed races, vehicle progression, customization, and a nighttime open-world atmosphere.
Role
Gameplay / Systems Development
Year
Prototype
Platform
PC
Focus
Arcade vehicle handling with modular race systems
Skill Loadout
Arcade vehicle handling with modular race systems
Main tools and systems connected to this case study.
Arcade vehicle handling
Race state management
AI rival racers
Customization systems
Progression and rewards
HUD and minimap flow
Media Breakdown
Gameplay, integrations, and feature clips
Multiple short clips make it easier to review specific systems without watching one long unstructured video.
Garage and Customization
Garage-facing still focused on performance upgrades, body kits, wheels, paint, and nitro customization.
Race Start Presentation
Start-grid view showing race-event setup, rivals, and pre-race presentation.
Event Selection Flow
Race-selection still showing event structure, track choice, and progression-facing UI flow.
Project Context
A fast-paced arcade street racer featuring responsive vehicle handling, underground race events, AI opponents, car customization, performance upgrades and progression across a neon nighttime city. This case study is structured to make the contribution, technical choices, and production thinking easy to review in a focused project walkthrough.
UnityArcade vehicle physicsAI racersRace managementCustomization systemsLeaderboardsPCArcade-style vehicle physicsCircuit, sprint, and checkpoint racesNitro and boost systemsGarage and vehicle selectionProgression and reward flowLeaderboards and time challenges
My Contribution
Built the prototype around fast, readable arcade racing with accessible controls and a strong sense of speed.
Separated vehicle control, race management, checkpoints, AI rivals, and progression into independent systems.
Structured customization, upgrades, and event flow so additional vehicles, tracks, and race types could be added cleanly.
Process
Focused first on vehicle acceleration, steering, braking, drifting, and traction so the handling stayed responsive without feeling weightless.
Kept race logic modular by splitting vehicle movement, race-state flow, checkpoint tracking, AI behavior, and progression into separate systems.
Used the garage, event selection, HUD, minimap, and reward loop to frame the project as a complete underground racing experience rather than a single driving mechanic.
Workflow Model
Tune arcade handling, drifting response, traction, braking, and boost feel.
Implement circuit, sprint, and checkpoint race structures with lap, position, and checkpoint tracking.
Add AI rivals, garage flow, vehicle upgrades, visual customization, and event selection.
Support long-term progression through rewards, leaderboards, time challenges, and nighttime city atmosphere.
Issues Solved
Balanced accessible arcade steering and braking with enough speed, drift response, and traction control to reward player skill.
Separated race architecture into reusable systems so more tracks, event types, and vehicles could be added without reworking the whole prototype.
Kept HUD, minimap, checkpoints, and progression readable during high-speed nighttime races.
End Result
A stylish arcade street-racing prototype that demonstrates responsive vehicle handling, modular race architecture, AI racers, customization flow, and progression systems inside a neon-lit city setting.
Next Improvements
Add gameplay footage for active race previews and garage flow when public captures are available.
Expand the track pool, vehicle roster, and event variety using the existing modular systems.
Refine leaderboard and time-trial competition around the current race-management framework.
