ANN ARBOR – A free autonomous shuttle service is coming to Ann Arbor in October and providers are turning to the public to name one of the vehicles. The A2GO ride service is a collaboration between May Mobility, University of Michigan's Mcity and Ann Arbor SPARK and will operate around U-M's central campus, the State Street corridor and Kerrytown. May Mobility will operate a fleet of five autonomous shared vehicles, which include four hybrid-electric Lexus RH 450h cars and one Polaris GEM fully electric vehicle, which will have capacity for one wheelchair passenger. "We're looking for a creative, clever and memorable name," reads the contest page. "There's only one rule - the shuttle's name has to start with an'M'!" Name suggestions can be submitted now through Sept. 8. Voting on semifinalists will be open from Sept. 14-23 and the winning name will be announced on Oct. 11 -- the scheduled start date for the service.
A Tesla Model 3 driving on'autopilot' smacked into a Florida Highway Patrol cruiser on Saturday morning, narrowly missing the driver of the cruiser who had stopped in order to help a disabled vehicle. The incident is the 12th such smash involving a Tesla on autopilot mode and an emergency vehicle. All the cars which have been struck had their lights flashing, or had deployed an emergency flare, illuminated warning sign or cones, raising questions about whether they may have confused the Tesla's sensors. Saturday's smash happened after when the 28-year-old trooper, who has not been named, stopped shortly after 5 am on August 28 on I-4 near downtown Orlando while responding to a broken down car. He put his emergency lights and was walking over to a disabled vehicle when the Tesla hit the cruiser's left side, according to a copy of the police report seen by DailyMail.com.
DEARBORN, Mich., JULY 21, 2021 – In an industry-first collaboration, Argo AI, Lyft and Ford Motor Company are working together to commercialize autonomous ride hailing at scale. The unique collaboration brings together all of the parts necessary to create a viable autonomous ride hailing service, including the self-driving technology, vehicle fleet and transportation network needed to support a scalable business and deliver an exceptional experience for riders. "This collaboration marks the first time all the pieces of the autonomous vehicle puzzle have come together this way," Lyft co-founder and CEO Logan Green said. "Each company brings the scale, knowledge and capability in their area of expertise that is necessary to make autonomous ride-hailing a business reality." As vehicles are deployed, Lyft users within the defined service areas will be able to select a Ford self-driving vehicle to hail a ride.
The 2022 Ford Maverick pickup has been revealed with a standard hybrid powertrain and a starting price of $19,995. Fox News Autos Editor Gary Gastelu visited Ford's Michigan Proving Ground to get an up close look. Ford Motor Co. and a self-driving vehicle company it partly owns will join with the Lyft ride-hailing service to offer autonomous rides on the Lyft network. The service using Ford vehicles and a driving system developed by Pittsburgh-based Argo AI will begin in Miami later this year and start in Austin, Texas, in 2022. It will start with human backup drivers and go fully autonomous at an unspecified date.
Carmera and Toyota collaborated on a mapping project in Detroit in 2019. Less than three months after acquiring Lyft's autonomous vehicle unit for $550 million, Toyota subsidiary Woven Planet Holdings made another acquisition to strengthen its position in the market. Woven Planet is acquiring HD mapping startup Carmera for an undisclosed amount. Carmera and Toyota are already quite familiar with each other. The companies collaborated on multiple projects from 2018-2020 in Detroit, Michigan, and Japan.
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A Michigan man was arrested Wednesday night after apparently jumping a Detroit drawbridge in "Dukes of Hazzard" fashion, according to multiple reports. The Allen Park driver, 26, was behind the wheel of a Dodge sedan when he accelerated and attempted to cross the Fort Street bascule bridge around 7 p.m. on Wednesday -- as it was rising. "I looked, I said, 'No he ain't,'" drawbridge operator Andre Locke told Detroit's WDIV-TV.
This work reconsiders the concept of community-based trip sharing proposed by Hasan et al. (2018) that leverages the structure of commuting patterns and urban communities to optimize trip sharing. It aims at quantifying the benefits of autonomous vehicles for community-based trip sharing, compared to a car-pooling platform where vehicles are driven by their owners. In the considered problem, each rider specifies a desired arrival time for her inbound trip (commuting to work) and a departure time for her outbound trip (commuting back home). In addition, her commute time cannot deviate too much from the duration of a direct trip. Prior work motivated by reducing parking pressure and congestion in the city of Ann Arbor, Michigan, showed that a car-pooling platform for community-based trip sharing could reduce the number of vehicles by close to 60%. This paper studies the potential benefits of autonomous vehicles in further reducing the number of vehicles needed to serve all these commuting trips. It proposes a column-generation procedure that generates and assembles mini routes to serve inbound and outbound trips, using a lexicographic objective that first minimizes the required vehicle count and then the total travel distance. The optimization algorithm is evaluated on a large-scale, real-world dataset of commute trips from the city of Ann Arbor, Michigan. The results of the optimization show that it can leverage autonomous vehicles to reduce the daily vehicle usage by 92%, improving upon the results of the original Commute Trip Sharing Problem by 34%, while also reducing daily vehicle miles traveled by approximately 30%. These results demonstrate the significant potential of autonomous vehicles for the shared commuting of a community to a common work destination.
Jaynarayan H. Lala (firstname.lastname@example.org) is a Senior Principal Engineering Fellow at Raytheon Technologies, San Diego, CA, USA. Carl E. Landwehr (email@example.com) is a Research Scientist at George Washington University and a Visiting Professor at University of Michigan, Ann Arbor, MI, USA. John F. Meyer (firstname.lastname@example.org) is a Professor Emeritus of Computer Science and Engineering at University of Michigan, Ann Arbor, MI, USA. This Viewpoint is derived from material produced as part of the Intelligent Vehicle Dependability and Security (IVDS) project of IFIP Working Group 10.4.
The state of Michigan wants to build the autonomous roadway of the future. Normally that in itself would be interesting enough, but there's also the company it's partnering with to make the project a reality. The state will work with a firm called Cavnue. Cavnue's parent company is Sidewalk Infrastructure Partners (SIP), which itself is a spinoff of Alphabet's Sidewalk Labs. If you've followed Engadget's coverage of the recently canceled Toronto Smart City project, you'll know all about Sidewalk Labs.
Part of the evolution of self-driving cars is deploying the vehicles in geofenced areas: Instead of putting them out into the entirety of the world, they're kept within a geographic area that has been mapped and determined to work well with the capabilities of an autonomous vehicle. Some of those areas might be special lanes specifically for vehicles that are driven by robots. Michigan is looking into creating such a lane. The state of Michigan and Cavenue (a company founded by Sidewalk Infrastructure Partners, which is part of Alphabet, the parent company of Google) has partnered up to explore building a 40-mile driverless corridor between Detroit and Ann Arbor. The route would be along Michigan Avenue and I-94 and would connect to Detroit Metropolitan Airport, Detroit's Central Station, and the University of Michigan.