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Cycling Advocacy in Europe: How the European Cyclists’ Federation Is Shaping the Future of Urban Mobility

European Cyclists' Federation
In this interview, Henk Swarttouw, President of the European Cyclists' Federation, shares insights on the future of cycling in Europe and beyond. He discusses the role of cycling in sustainable urban mobility, the challenges of building a pan-European cycling network, and practical steps to accelerate change. The conversation also highlights actionable recommendations for cities with low cycling levels.
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China Transportation Digitalization: Where Will It Lead by 2036?

China Transportation Digitalization
This article explores how China transportation digitalization could transform mobility into a “spatial intelligence layer” by 2036. It examines governance models, infrastructure logic, and new value ecosystems emerging from this shift. The analysis highlights how coordination, not speed, will define the future of transport systems.
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Intelligent Transportation Systems in 2025: China’s Year of Acceleration and Global Signals for Smart Mobility

speed roads as a part of intelligent transportation systems
The 2025 ITS landscape was dominated by AI large models, embodied robots, and drones in China, alongside global advances in LiDAR and V2X. Key themes included the push for vehicle-road-cloud integration, a booming low-altitude economy, and an industry-wide focus on practical digital transformation.
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Mexico City 2026: Can Megacity Mobility Coordination Keep a World Cup City Moving?

Mexico city
Mexico City will face a rare stress test during the 2026 World Cup as matchday travel overlaps with daily commuter peaks. The article explores how megacity mobility coordination, not infrastructure expansion, will determine transport system resilience. Lessons from global events show why governance and demand management are becoming core urban mobility tools.
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AI-Powered Intelligent Transportation: How Changzhou Is Building a “Smooth City” System

Changzhou
Changzhou, Jiangsu province, China leverages AI to advance its intelligent transportation system. Key initiatives include the AI-driven "Cloud Bus," which optimizes routes and reduces wait times, and smart toll stations that enable seamless, efficient vehicle passage. These efforts enhance public transport, cut costs, and improve urban mobility, supporting the city's sustainable development goals.
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SaaS Traffic Control in Xuchang: A New Model for Seamless Congestion Management

Xuchang
Xuchang (Henan province, China) tackled traffic congestion caused by surging tourism by implementing AI-powered SaaS traffic control system. This lightweight solution, deployed in two weeks at one-tenth the traditional cost, reduced intersection delays by 13.39% and improved rush hour speeds by 13-15%. Integrated smart parking further optimized mobility, demonstrating technology's role in building efficient cities.
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Human-Centric Smart Mobility: Ethical Dilemmas and Solutions in the Age of Intelligent Connectivity

smart transportation
: Smart transportation's pursuit of efficiency raises ethical dilemmas: loss of driver control, data privacy concerns, and diminished social connectivity. Solutions include standardized human-machine interfaces, robust data governance, and technology-designed social interactions to preserve human-centric mobility.
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Reverse Variable Left-Turn Lane: An Innovative Solution for Smart Urban Traffic Optimization

a road with cars and trafic light for reverse variable turn lane
The reverse variable left-turn lane is an innovative traffic design that dynamically reconfigures exit lanes for left-turn use during specific signal phases. This urban traffic optimization strategy enhances intersection capacity without major construction, offering a smart, cost-effective solution for left-turn congestion.
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