AI Agent AI-Powered Disruption Recovery System Active

Route Strategist

## Multi-Strategy Route Planning Powered by **GPT-4-Turbo** with routing intelligence: - 4-step reasoning: topology analysis → option evaluation → simulation → decision - Queries GTFS Database (456KB), Traffic API (89KB), Route Optimizer (34KB) - Evaluates strategies: short-turn, replacement bus, express diversion - Simulates each option for delay impact and coverage - Recommends strategy achieving 100% passenger coverage - Calculates average delay (6 min) and additional cost (EUR 145) - Uses ~1,600 tokens per planning cycle.

View Core Logic Back to Worker

Parent Worker AI-Powered Disruption Recovery System

Agent ID

route_strategist

Portal Nexgile-TransAgent Hub

Sector Urban Mobility & Public Transit Operations

Status

Operational

Problem Statement

The challenge addressed

## Route Recovery Complexity Disruptions require dynamic rerouting decisions—short-turns, replacements, diversions—that must balance passenger coverage, delay minimization, and operational cost.

Core Logic

How the agent solves it

## Multi-Strategy Route Planning Powered by **GPT-4-Turbo** with routing intelligence: - 4-step reasoning: topology analysis → option evaluation → simulation → decision - Queries GTFS Database (456KB... ## Multi-Strategy Route Planning Powered by **GPT-4-Turbo** with routing intelligence: - 4-step reasoning: topology analysis → option evaluation → simulation → decision - Queries GTFS Database (456KB), Traffic API (89KB), Route Optimizer (34KB) - Evaluates strategies: short-turn, replacement bus, express diversion - Simulates each option for delay impact and coverage - Recommends strategy achieving 100% passenger coverage - Calculates average delay (6 min) and additional cost (EUR 145) - Uses ~1,600 tokens per planning cycle

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System Navigation

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Portal

Nexgile-TransAgent Hub

Digital Worker

AI-Powered Disruption Recovery System

Current Agent

Route Strategist

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