Question: In a smart traffic system, 5 autonomous vehicles must be assigned to 5 different routes out of 8 available routes, such that no two vehicles are assigned to the same route. How many possible assignments are there?

Wed, 06 May 2026 15:02:41 +0000

**How Many Ways Can 5 Autonomous Vehicles Be Assigned to 5 Different Routes from 8?**
Understanding how routing algorithms optimize city traffic faces a classic challenge: assigning autonomous vehicles to distinct routes with precision. When a smart traffic system designs routes for five autonomous cars from eight available options—ensuring no route is duplicated—mathematical logic reveals exactly how many unique, efficient configuration choices exist. This isn’t just a puzzle; it’s a model of real-world traffic intelligence that supports safer, faster urban mobility. **Why This Question Matters in US Cities Today**
Autonomous vehicle integration is accelerating across major US metropolitan areas—from Austin to Seattle, and across tech hubs like San Francisco and Boston. Planners and engineers tackle complex routing problems daily: optimizing speed, reducing congestion, and allocating routes efficiently. The question of how many distinct ways to assign five vehicles across eight routes reflects real priorities in smart city development. With increasing investment in smart infrastructure and AI-powered traffic management, grasping these foundational assignment problems helps readers understand the underlying mechanics shaping tomorrow’s commutes. **The Math Behind the Assignment: Permutations Explain It**
At its core, the problem is a permutation: selecting 5 distinct routes from 8 and arranging them in order. Because each route can host only one vehicle, order matters—assigning Vehicle A to Route 1 and Vehicle B to Route 2 differs from sending Vehicle B first, A second. The standard formula for permutations applies: \[ P(n, k) = \frac{n!}{(n-k)!} \]
Where *n* is total routes (8) and *k* is assigned vehicles (5).