自动驾驶汽车与公共交通系统相结合将如何优化城市交通
自动驾驶汽车可带来诸多好处,例如降低运营成本以及为无法驾驶或使用公共交通的人们提供出行便利。但简单地用自动驾驶汽车取代私人拥有的有人驾驶的汽车只会加剧现有的交通拥堵等交通问题。将自动驾驶汽车与公共交通(城市交通系统的支柱)相结合,能让两者发挥互补作用。
Jinhua Zhao is the Professor of Cities and Transportation at the Massachusetts Institute of Technology (MIT). Prof. Zhao integrates behavioral and computational thinking to decarbonize the world’s mobility system.
Prof. Zhao founded the MIT Mobility Initiative, coalescing the Institute’s efforts on transportation research, education, entrepreneurship, and engagement. He hosts the MIT Mobility Forum, highlighting transportation innovation from MIT and across the globe.
Prof. Zhao directs the JTL Urban Mobility Lab and Transit Lab, leading long-term collaborations with transportation authorities and operators worldwide and enabling cross-culture learning between cities in North America, Asia and Europe.
Prof. Zhao leads the program “Mens, Manus and Machina (M3S): How AI Impacts the Future of Work and Future of Learning” at the Singapore MIT Alliance for Research and Technology (SMART).
He brings behavioral science and transportation technology together to shape travel behavior, design mobility system, and reform urban policies. He develops computational methods to sense, predict, nudge, and regulate travel behavior and designs multimodal mobility systems that integrate automated and shared mobility with public transport. He sees transportation as a language to describe a person, characterize a city, and understand an institution and establishes the behavioral foundation for transportation systems and policies.
自动驾驶汽车可带来诸多好处,例如降低运营成本以及为无法驾驶或使用公共交通的人们提供出行便利。但简单地用自动驾驶汽车取代私人拥有的有人驾驶的汽车只会加剧现有的交通拥堵等交通问题。将自动驾驶汽车与公共交通(城市交通系统的支柱)相结合,能让两者发挥互补作用。
Integrating autonomous vehicles and public transit will be key to maximising benefits and mitigating potential negative impacts when shaping urban mobility.