1、AI for Future Cities 04:Transport1AI for Future CitiesTransportArupNovember 2025Issue 04AI for Future Cities 04:Transport2Introduction 04Foreword 05Foresight perspective 06Horizon scan evidence:Trends shaping the future of AI in transport 08The city of 2035:How might AI in transport shape the city,a

2、nd what new realities emerge?09Expert insight:The promise,risks and responsibilities for transport planners in an AI future 10Case studies:How is Arup using AI to improve transport planning in our cities?12Expert insight:The role of AI in improving the management of Londons roads 13Case studies:How

3、is Arup using AI to improve transport design and operations in our cities?15Expert insight:Autonomous Vehicles are here will our future cities change for the better?16Case studies:How is Arup currently supporting cities in the deployment of Autonomous Vehicles?18Recommendations 19References and Cont

4、ributors 21ContentsThis fourth issue in the series focuses on urban transport.How is AI changing the way we plan,design,operate and experience mobility in our cities?How might AI-enabled transport systems reshape the physical structure of urban environments and the daily journeys of their residents?

5、What new skills and competencies will future practitioners need in order to work with transport systems that are increasingly intelligent,autonomous and interconnected?And how do we ensure that AI remains a tool we use critically,inclusively and with cultural sensitivity?The rapid evolution of artif

6、icial intelligence(AI)promises to enhance efficiency,speed and innovation.But what does this mean for cities:for how they are planned,designed,built and managed?What are the opportunities and what are the risks?Amongst the hype and speculation,how do we ensure that these technologies support us in a