Such services are expected to become a new means of public transit in regions facing population decline. In Eiheiji, where level 4 autonomous driving was approved for the first time in the country, a seven-seater electric cart developed by the National Institute of Advanced Industrial Science and Technology and others runs on a section of a walking trail spanning about 2 kilometers. There is no operator in the cart, and one person in charge of remote monitoring manages up to three such electric carts. This could be due to a conflict with your ad-blocking or security software. Please add japantimes.co.jp and piano.io to your list of allowed sites.

Villeurbanne, France, April, 01 2021, 08:00 am CEST – Navya (FR0013018041- Navya), a leading company in autonomous driving systems, announces the deployment of a fleet of 3 Autonom Shuttle operated by Keolis on behalf of Ile-de-France Mobilités (IDFM) within the Saint-Quentin-en-Yvelines city. The 3 shuttles deployed run along a 1.6 km path on an open road, in complete interaction with other users. The shuttles run every 8 minutes during rush hour, Monday to Friday, from 7.30 am to 8 pm. They are integrated into heavy traffic. The service completes the public transport offer of the Saint-Quentin-en-Yvelines agglomeration.

Smart modular freight containers -- as propagated in the Physical Internet paradigm -- are equipped with sensors, data storage capability and intelligence that enable them to route themselves from origin to destination without manual intervention or central governance. In this self-organizing setting, containers can autonomously place bids on transport services in a spot market setting. However, for individual containers it may be difficult to learn good bidding policies due to limited observations. By sharing information and costs between one another, smart containers can jointly learn bidding policies, even though simultaneously competing for the same transport capacity. We replicate this behavior by learning stochastic bidding policies in a semi-cooperative multi agent setting. To this end, we develop a reinforcement learning algorithm based on the policy gradient framework. Numerical experiments show that sharing solely bids and acceptance decisions leads to stable bidding policies. Additional system information only marginally improves performance; individual job properties suffice to place appropriate bids. Furthermore, we find that carriers may have incentives not to share information with the smart containers. The experiments give rise to several directions for follow-up research, in particular the interaction between smart containers and transport services in self-organizing logistics.

"The advancement of science and technologies will improve people's lives and reduce social inequality, while making an economic impact," Narong Sirilertworakul, president of the NSTDA, said at the agency's annual technology conference yesterday. The 5G mobile network is not only 20 times faster than 4G, but also helps connect other technologies, namely AI, big data, cloud and the Internet of Things (IoT). Although 6G technology is still in the early stages, it's expected to be more than 1,000 times faster than 5G, Mr Narong said. He has seen the rise of quantum computing and engineering, while higher internet speeds for the IoT and sensor technology are key to driving data usage. Powerful computing is needed to help solve complex tasks, such as decoding DNA.

Three autonomous vehicle projects are set to receive backing from a share of a £25 million government fund, as the UK edges closer to seeing self-driving cars on its roads. The new cars are set to'revolutionise' the way Brits travel across the country and could even help to improve transport services for those who struggle to access public transport. All of the new projects will include social behavioural research in order to understand how driverless technology can be seamlessly integrated into society. The findings will then be applied to the development for future autonomous service models. Business and Energy Secretary Greg Clark is set to announce the public trials in Oxford, after trying a self-driving vehicle firsthand, which is being tested around the city.

Few companies offer something so popular that their name becomes a verb. But that is one of the many achievements of Uber, a company founded in 2009 which is now the world's most valuable startup, worth around 70 billion. Its app can summon a car in moments in more than 425 cities around the world, to the fury of taxi drivers everywhere. But Uber's ambitions, and the expectations underpinning its valuation, extend much further: using self-driving vehicles, it wants to make ride-hailing so cheap and convenient that people forgo car ownership altogether. Not satisfied with shaking up the 100-billion-a-year taxi business, it has its eye on the far bigger market for personal transport, worth as much as 10 trillion a year globally.