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.RCI · Robotaxi Confidence Index 50.0 ▼ +0.3 .ADLCI · Autonomous Driving Licensing Confidence Index 33.6 ▼ +0.1 .ATCI · Autonomous Trucks Confidence Index 33.4 ▼ +0.4 .DCI · Delivery Bots Confidence Index 57.3 ▼ +1.3 WaymoUS 81.7 ▲ +2.5 Baidu Apollo GoCN 79.3 ▼ -1.0 NeolixCN 73.5 ▼ -3.7 Starship TechnologiesEE 68.2 ▼ -7.3 Serve RoboticsUS 67.8 ▲ +6.3 Pony.aiCN 67.6 ▲ +5.9 WeRideCN 60.8 ▲ +6.6 KodiakUS 45.6 ▼ -3.2 CocoUS 44.9 ▲ +6.1 TeslaUS 43.1 ▲ +2.4 MeituanCN 43.0 ▲ +1.7 AuroraUS 42.4 ▲ +4.7 Applied IntuitionUS 42.1 ▼ -4.0 Avride PodUS 41.8 ▲ +8.1 ZooxUS 39.2 ▼ -12.8 MomentaCN 35.9 ▼ -5.2 DoorDash DotUS 35.8 ▼ -0.1 DeepRoute.aiCN 35.4 ▼ -1.4 MobileyeIL 34.1 ▲ +4.9 Bot AutoUS 33.3 ▼ -2.3 MotionalUS 32.5 ▲ +1.2 May MobilityUS 32.3 ▲ +0.1 Volvo Autonomous SolutionsSE 31.8 ▲ +1.4 AvrideUS 31.6 ▼ -1.0 XPengCN 31.6 ▲ +8.6 Cao Cao MobilityCN 29.2 ▲ +0.1 TorcUS 26.9 ▲ +2.6 Didi Autonomous DrivingCN 26.8 ▲ +0.5 VerneHR 25.6 ▲ +5.5 WayveGB 24.9 ▼ -0.7 AutobrainsIL 22.2 ▲ +0.7 MOIA AmericaDE 21.8 ▲ +2.1 NuroUS 19.9 ▼ -1.7 WaabiCA 19.8 ▼ -1.1 Helm.aiUS 17.8 ▼ -0.7 Stack AVUS 15.9 ▲ +2.6 Tensor AutoUS 15.8 ▲ +1.2 PlusAIUS 14.4 ▼ -0.4 HUMAINSA 2.1 – 0.0 .RCI · Robotaxi Confidence Index 50.0 ▼ +0.3 .ADLCI · Autonomous Driving Licensing Confidence Index 33.6 ▼ +0.1 .ATCI · Autonomous Trucks Confidence Index 33.4 ▼ +0.4 .DCI · Delivery Bots Confidence Index 57.3 ▼ +1.3 WaymoUS 81.7 ▲ +2.5 Baidu Apollo GoCN 79.3 ▼ -1.0 NeolixCN 73.5 ▼ -3.7 Starship TechnologiesEE 68.2 ▼ -7.3 Serve RoboticsUS 67.8 ▲ +6.3 Pony.aiCN 67.6 ▲ +5.9 WeRideCN 60.8 ▲ +6.6 KodiakUS 45.6 ▼ -3.2 CocoUS 44.9 ▲ +6.1 TeslaUS 43.1 ▲ +2.4 MeituanCN 43.0 ▲ +1.7 AuroraUS 42.4 ▲ +4.7 Applied IntuitionUS 42.1 ▼ -4.0 Avride PodUS 41.8 ▲ +8.1 ZooxUS 39.2 ▼ -12.8 MomentaCN 35.9 ▼ -5.2 DoorDash DotUS 35.8 ▼ -0.1 DeepRoute.aiCN 35.4 ▼ -1.4 MobileyeIL 34.1 ▲ +4.9 Bot AutoUS 33.3 ▼ -2.3 MotionalUS 32.5 ▲ +1.2 May MobilityUS 32.3 ▲ +0.1 Volvo Autonomous SolutionsSE 31.8 ▲ +1.4 AvrideUS 31.6 ▼ -1.0 XPengCN 31.6 ▲ +8.6 Cao Cao MobilityCN 29.2 ▲ +0.1 TorcUS 26.9 ▲ +2.6 Didi Autonomous DrivingCN 26.8 ▲ +0.5 VerneHR 25.6 ▲ +5.5 WayveGB 24.9 ▼ -0.7 AutobrainsIL 22.2 ▲ +0.7 MOIA AmericaDE 21.8 ▲ +2.1 NuroUS 19.9 ▼ -1.7 WaabiCA 19.8 ▼ -1.1 Helm.aiUS 17.8 ▼ -0.7 Stack AVUS 15.9 ▲ +2.6 Tensor AutoUS 15.8 ▲ +1.2 PlusAIUS 14.4 ▼ -0.4 HUMAINSA 2.1 – 0.0
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Electric, Autonomous Freight Rail - The Road to Autonomy

Electric, Autonomous Freight Rail

Matt Soule, Co-Founder & CEO, Parallel Systems joined Grayson Brulte on The Road to Autonomy podcast to discuss Parallel’s electric, autonomous freight rail system.

The conversation begins with Matt discussing the founding of Parallel Systems.

The energy efficiency of rail uniquely allows for reduction in energy and therefore reduction in CO2.

– Matt Soule

Parallel Systems is working to re-imagine how freight moves on rail by going smaller and simpler with autonomous battery rail cars. The system is flexible and it works with legacy rail operators, which allows those operators further optimize their capacity.

Parallel is developing a system that allows rail to expand their addressable market.

– Matt Soule

To help rail become more competitive with trucks, Parallel’s system allows truck unit economics without the massive scale.

Our economics do not require amortization over large amounts of freight.

– Matt Soule

The system operates autonomously on rail routes that compete with drayage operations a platoon. The autonomous rail platoon will max out around 50 cars as it’s the most efficient means of moving freight on the Parallel system. Unlike traditional trains that can block road roadways for extended periods of time, Parallel’s contact-based platooning system allows for the cars to disconnect and reconnect as to not slow traffic for an extended period of time.

When Parallel starts the process of commercializing their technology, the company wants to be a vendor to rail operators. They are not going to act as a service provider and compete with the traditional rail industry. During the dwell time when cars are loaded and unloaded, Parallel’s cars will be able to charge. To charge, the system will require 3 to 10 megawatts of charging capacity. Parallel cars will get around 500 range of mile with a 250 kilowatt battery.

One of the major advantages of the Parallel system is the system’s ability to dramatically change the braking force, allowing the train to stop faster.

What Parallel is doing is developing a braking system that does close the loop and we are able to dramatically change our braking force depending on the track conditions, the adhesion of the train wheel to the track, as well as how heavily we are loaded. We are trying to stop as fast as physics will allow us.

– Matt Soule

Dynamic braking helps the system operate more safely. The Parallel approach to rail has caught the attention of the U.S. Department of Energy as Parallel was rewarded a $4.4 million grant to fund a 29-month advanced testing program with the goal of quantifying the environmental impact and the overall vehicle stability of their system.

Wrapping up the conversation, Matt shares his opinion on the future of freight.

Parallel is creating capacity for freight.

– Matt Soule
The future is bright. The future is autonomous. The future is The Road to Autonomy.

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