EHang, the world's leading autonomous aerial vehicle (AAV) technology platform company, announced today that it has selected Guangzhou as its first urban air mobility (UAM) pilot city globally for the establishment of a low-altitude aviation transportation network that shuttles passengers and goods in a safe, fast, environmentally friendly, cost-efficient and intelligent way.
clean and non-motorised transport
Based on big data, EHang's smart logistics ecosystem uses cloud computing and autonomous aerial vehicles (AAVs) to build the aerial logistics network via air transportation. The difficulties in delivering goods to urban and rural areas, industrial parks and islands will be solved and a more intelligent and convenient shopping environment will thus be created. EHang logistics AAVs will fly along with the pre-programmed route, and complete the pre-programmed task. There is no need for manual intervention over the course, improving the delivery efficiency.
V2X, or Vehicle to Everything communication, enables vehicles to communicate with each other and their environment. V2X is about knowing ahead without visibility. Unlike traditional sensors which try to replicate a sense we already have, such as vision, V2X adds a whole new dimension to human and machine perception. This sensor is capable of seeing around corners and beyond any obstruction in a radius of up to one mile.
Pécsike is one of the new innovations in Pécs, it opened its services for the public in June 19th of 2019.
The main goal of Pécsike is “that as many people as possible use the bikes as part of their daily life, thus reducing the air pollution, traffic jams and noise of the city. In addition, the main goal is to make this effective and environmentally-friendly alternative more popular among travellers in the city centre.”
Traffic congestion has a tremendous cost whether measured by lost productivity, environmental pollution, social equity, or just plain frustration. People keep moving to cities, but building new infrastructure is difficult and expensive.
Velocia is an app that rewards travelers for not driving alone, using resources that already exist. They place humans—rather than technology—at the center of their smart mobility solutions.
At LogLine, they are committed to cycling and livable cities, their aim to make data on urban cycling available to as many developers, operators and designers as possible to make transport facilities safer and more usable. The developed device can measure the position, speed and wheelbase (which allows the vehicles to be distinguished) of the passing cyclist or other vehicle in the cross-section of the road. The system can be installed quickly without damaging the pavement, and also provides the possibility of real-time data monitoring and web display.
Tengah will be Singapore’s first smart and sustainable town, with green features and smart technologies.
Giant solar-powered air conditioners, vacuum garbage collection, subterranean roads for electric vehicles, urban farms and green architecture. Put them all together and you have Tengah, Singapore’s most ambitious project yet to build the city of the future.
Mária Valéria Bike is a bicycle-sharing system across two countries existing on Esztergom and Sturovo. There are 14 collection stations in the two cities, with a total of 60 traditional and 45 electric bicycles available.
The system is compatible with the pioneer Esztergom Bicycle (ebi) bicycles, established in 2013. The two systems consist a total of 20 stations and 165 bicycles.
Scotland's first ever Low Emission Zone (LEZ) came into effect in Glasgow city centre on 31 December 2018.
A Low Emission Zone is an area where a person may not drive a vehicle which does not meet a specified emission standard. LEZs are intended to reduce pollution levels and improve air quality in areas where standards are not being met.
The Iowa Data Bike is a proof-of-concept initiative by the Des Moines Area MPO in partnership with the Iowa Department of Public Health and the Iowa Natural Heritage Foundation. Using an app that senses the roughness of pavement, the Data Bike will generate data scoring the condition of trails. The Data Bike will also collect 360-degree imagery along trails for Google Street View.