Modelling Goal-Oriented Pedestrian Behaviour

发展智能城市已成为21世纪的一项主要经济活动，全球将有空前数量的人共同生活在城市地区。这代表着运输领域面临的令人难以置信的挑战。日益增长的城市化和机动性导致交通枢纽、购物中心和公共空间变得更加繁忙，需要精心设计和管理，以应对日益增长的需求。该项目将致力于为行人人群建立计算机模拟模型，目前这一模型正在给该行业带来革命性的变化。行人的移动是自我组织的，因为个人在行走时会对其他人的移动做出反应。模拟模型建立在个人行为的数学表示基础上，是一种多功能工具，有望准确预测在真实人群中观察到的流动模式。该项目将通过开发一个模型来解决一个关键的公开问题，即当个人在任何公共空间导航时，如何计划、审查和执行他们的活动。该项目的预期结果是一个通用模型，可以接受建筑配置和个人目标作为输入，并准确预测各种情况下的人群行为。这些情况将包括在火灾或其他危险情况下的疏散，以及在高速公路上的疏散。还有可能开发和进行真实世界的实验来完善该模型。这可以通过在精心设计的环境中对志愿者群体进行基于实验室的试验来完成。这将需要适当的环境来进行实验，为志愿者做广告/拉票，以及可能的参与奖励。另一个潜在的实验框架是基于一种“教育视频游戏”，该游戏可以分布在公共区域，让志愿者在视频游戏中完成目标。然后，将从游戏中的参与者决策和他们的反馈中收集数据。这款游戏需要仔细的规划和设计，以保持用户的兴趣，同时坚持项目的需求。

Developing intelligent cities has become a major economic activity in the 21st century and an unprecedented number of people will live together in urban areas all over the globe. This represents incredible challenges in the field of transport. Rising urbanisation and mobility lead to busier transportation hubs, shopping malls and public spaces that need to be carefully designed and managed to cope with growing demand. This project will involve working on computer simulation models for pedestrian crowds that are currently revolutionising the industry. Pedestrian movement is self-organised, as individuals respond to the movement of others whilst walking. Built on mathematical representations of individual behaviour, simulation models are a versatile tool that promise to accurately predict the flow patterns observed in real crowds. The project will address a crucial open problem by developing a model for how individuals plan, review and execute their activities when navigating through any public space. The intended outcome of this project is a general model that can accept building configuration and individual objectives as inputs and accurately predict crowd behaviour under a variety of situations. These situations will include evacuations in the event of fires or other hazards, and times of high thoroughfare. There is also potential to develop and carry out real-world experiments to refine the model. This could be done by using lab-based trials with groups of volunteers in carefully designed environments. This will require suitable settings to conduct the experiments, advertising/canvasing for volunteers and possible incentives for participation. Another potential experimental framework is based around an 'educational video game' which could be distributed in public areas where volunteers complete objectives in the video game. Data would then be collected from participant decisions within the game and from their feedback. The game would require careful planning and designing to keep users interested while adhering to the needs of the project.