Midtown Community Health Center to Accept Mobile Driver’s Licenses for Pharmacy Purchases at Ogden Location
Strategy 2.0: IONITY accelerates expansion of its fast-charging network
Select Utah State Liquor Store Locations to Begin Accepting Mobile Driver’s Licenses to Confirm Legal Age for Alcohol Purchases
Bentley Systems and SMRT Trains Collaborate to Improve Safety and Reliability of Metro Rail Services in Singapore
Mobile Driver’s License Standard Approved and Published
Harmons to Accept Mobile Driver’s Licenses as Part of Utah Pilot Program
Robot Shuttles are not Robotaxis, Explains IDTechEx
U.S. Transportation Secretary Elaine L. Chao Announces First Participants in New Automated Vehicle Initiative to Improve Safety, Testing, and Public E
Three consortia will pilot self-driving shuttles as part of regular traffic in five European cities
Ride a robot bus to the beach in Helsinki, one of the world’s most active test cities for robot buses
-
Avalue Smart Traffic Solution - AI makes effective traffic management possible
In the midst of explosive demand in smart cities worldwide, Avalue Technology with its years of experience in artificial intelligence (AI) and foothold in the Taiwan market has been picked by the Industrial Development Bureau, Ministry of Economic Affairs, as its industry partner to introduce AI into traffic management in Taoyuan City and subsequently implementing integrated solutions into other cities. Avalue will also seek opportunities arising from smart cities overseas under New Southbound Policy, reinforcing what the company values most in a smart city – bringing technology closer to people. Smart Intersection Safety System Getting rid of hardware thinking, the Avalue team focuses on smart traffic solutions by bringing AI recognition system to road junctions where have no traffic signals. For instance, a warning message will appear on the LED screen when pedestrians are crossing the road so as to reduce road accidents; and, upon detecting vehicles on the main road, LED screen on branch roads going toward the main road warn of approaching vehicles at the junction, reminding drivers to reduce speed when approaching the junction, reducing chances of traffic accidents. Monitoring driving behavior to improve passenger safety Integrating hardware equipment and on-board diagnostics (OBD2) in existing buses of bus service operators in Taoyuan, Avalue allows the operators to monitor the status and location of their bus fleets, and even record driving behavior of their drivers to provide passengers with safer bus rides. Not only does it improve passenger satisfaction but also reduce incidents and frequency of complaints for bus service operators. Traffic enforcement with AI technology and ambulance priority pass improve traffic safety and reduce accidents Smart AI detection system installed at bus bays and no-parking/ red-line zones will detect and record entire process of traffic violation, thus reinforcing the public’s compliance with traffic rules, and reducing traffic congestion and demand on policing manpower. Dedicated short-range communication (DSRC) is also used to control traffic signals when an ambulance is passing a junction, preventing the need for ambulances to run red lights, maintaining road safety and increasing rescue efficiency. As cities face greater challenges in traffic management, to meet the demands of a vertical market stemming from the emergence of smart transportation, IoT and AI, Avalue is able to provide customized solutions to meet different cities’ needs with same requirement for traffic management – reduce traffic accidents and congestion, and improve road safety and compliance with traffic rules.
-
A software robot checks the right for school transport in Tampere, Finland
The City of Tampere, Finland will test a school transport decision system that makes proposals. There is no need for guardians to apply for the right for a child’s school transport; instead, the city automatically sends the decision on the granting of the subsidy. A software robot will check the right for school transport for the school year 2019–2020. The city has started to use a software robot that checks the distance from home to school of all pre-school and basic education pupils with a journey planner. The software robot measures the shortest suitable pedestrian route from home to school. The guardians and school can see the route based on which the software has calculated the journey in the Helmi student management system. - The software robot makes a proposal to the principal Thanks to the software robot, there is no need for the guardian to apply for the school transport subsidy. “The application has been rather burdensome to fill in. The software robot saves up to half an hour of parents’ time,” says Vice Principal Marika Korpinurmi. “The proposals made by the robot save also the time of principals and school secretaries, since robots do not make human mistakes. We have tried to simplify the process.” The software robot makes a proposal to the principal concerning the pre-school and basic education pupils to whom the school transport subsidy should be granted and proposes a suitable mode of transport. “In Tampere, we first offer the right to a bus travel card, but in special cases, it is possible to arrange the pupil’s transport using group-transport taxis,” says Korpinurmi. The principal checks the decisions made by the robot and changes them, if necessary. After this, the robot sends a notification of the decision to the guardians. The proposed school transport decisions concern the subsidies of the school year 2019–2020. The software robot was manufactured by CGI Finland Ltd as part of the Helmi system’s development work.
-
-
-
-
-
-