LA Metro taps HASTUS Planning Platform for NextGen bus study
Will use system to evaluate route network scenarios and their impacts on riders, as well as to develop optimized timetables for the revamped service.

GIRO and Metro will also work together to develop a passenger-assignment tool, which will use origin-destination data to help planners achieve more precise analysis of different scenarios.
Downtowngal

GIRO and Metro will also work together to develop a passenger-assignment tool, which will use origin-destination data to help planners achieve more precise analysis of different scenarios.
Downtowngal
The Los Angeles County Metropolitan Transportation Authority (Metro) chose the HASTUS Planning Platform to support its NextGen Bus Study, along with Metro’s planning and outreach consulting teams. Metro chose GIRO’s solution after a thorough examination of the public transport planning solutions available in the market. NextGen will reimagine and restructure Metro’s bus network, with a new generation of bus service going into effect in the autumn of 2019.
Metro will be using the HASTUS Planning Platform to evaluate route network scenarios and their impacts on riders, as well as to develop optimized timetables for the revamped service. GIRO and Metro will also work together to develop a passenger-assignment tool, which will use origin-destination data to help planners achieve more precise analysis of different scenarios.
“Our goal is to provide a redesigned bus system that is attractive for current and future customers, integrating with all the ways that people travel throughout LA County,” said Dan Nguyen, Metro’s deputy executive officer, operations — scheduling & service performance analysis. “We look forward to using the HASTUS Planning Platform to evaluate scenarios and identify the best network design solutions”.
The HASTUS Planning Platform was created with input from a broad range of public transport organizations. It is deployed at more than 25 transit agencies, putting planners in control of all their data to design optimal urban transport networks for high-quality service.
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