This document presents a comprehensive simulation framework designed to model urban incidents involving pedestrians and vehicles. Using a multiagent systems approach, two types of agents (pedestrians and vehicles) are introduced within a 2D grid based urban environment. The environment encodes streets, sidewalks, buildings, zebra crossings, and obstacles such as potholes and infrastructure elements. Each agent employs a weighted A* algorithm for pathfinding, allowing for variation in decision making behavior such as reckless movement or strict rule-following. The model aims to simulate interactions, assess risk of collisions, and evaluate efficiency under varying environmental and behavioral conditions. Experimental results explore how factors like obstacle density, presence of traffic control mechanisms, and behavioral deviations affect safety and travel efficiency.

翻译：本文提出一个全面的仿真框架，用于模拟涉及行人与车辆的城市事故。采用多智能体系统方法，在基于二维网格的城市环境中引入两类智能体（行人与车辆）。该环境对街道、人行道、建筑物、斑马线以及坑洼和基础设施元素等障碍物进行编码。每个智能体采用加权A*算法进行路径规划，允许决策行为的变化，例如鲁莽移动或严格遵守规则。该模型旨在模拟交互作用、评估碰撞风险，并在不同环境与行为条件下评估交通效率。实验结果探讨了障碍物密度、交通控制机制的存在以及行为偏差等因素如何影响安全性与出行效率。