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Rail News: Railroading Supplier Spotlight

Rail supplier news from Loram, Atlas, Greenbrier and Rail Vision (Jan. 9)

Luke Olson is now senior vice president of contract services for the Americas and global OEM at Loram.
Photo – Loram


Loram has appointed Luke Olson senior vice president of contract services for the Americas and global OEM. Olson now is responsible for marketing, sales, product management and contract service operations in North and South America. He has worked for Loram since 2003, when he started as an international marketing coordinator. Olson has held multiple leadership roles within the company, including director of rail grinding and VP of marketing and sales.

The Georgia Department of Transportation awarded a contract to Atlas Technical Consultants Inc. to provide engineering, design and environmental services for work at grade crossings owned by a Class I. The contract has a maximum value of $15 million with an initial term of three years, with an option for a two-year extension. The contract comes from GDOT's Railroad Safety Program, which seeks to identify, reduce and eliminate hazards at crossings through the installation of warning devices, construction of grade separations and improvements to roadway approaches.

The Greenbrier Cos. has reported results for first-quarter 2023, which ended Nov. 30, 2022. The company logged a net loss of $17 million, or 51 cents per diluted share, on $767 million in revenue; adjusted net earnings of $1.6 million, or 5 cents per diluted share; diversified new rail-car orders of 5,600 units, valued at $700 million; and deliveries of 4,800 units. Greenbrier posted a backlog of 28,300 units worth an estimated $3.4 billion. The company also reported 98% lease fleet utilization.

Rail Vision announced the successful demonstration of field applicability for its switch yard obstacle detection system for an unnamed Class I. The system was demonstrated using an SD40 locomotive equipped with autonomous driving technology and an advanced electronic air brake system. The product can navigate challenging obstacles during conventional and autonomous operations in wet and foggy weather by identifying the distance to people, cars and rail equipment. It also determines the alignment of switch points. The system uses electro-optic sensors in conjunction with artificial intelligence and machine learning.