Researcher, Chief Data & Analytics Office Ref# 3015-405

General Motors   Warren, MI   Full-time     Engineering
Posted on January 15, 2023

Researcher, Chief Data & Analytics Office, Warren, MI or Remote (Anywhere USA), General Motors. Research &develop a statistical discrete choice model that can predict demand for Advanced Air Mobility (AAM) service in different U.S. cities. Estimate parameters of statistical demand model using multimodal conjoint stated preference survey data. Implement demand model in Python &run model using trip inputs representative of actual trips conducted in city of interest. Analyze outputs from demand model using a number of different price points &AAM fleet size to understand market profile &service adoption probabilities. Recommend optimal locations of vertiports to best capture predicted customer demand. Research &build map-matching algorithm in Python that maps existing probe vehicle data to real-world transportation networks. Use map-matched probe vehicle data to detect congested links in an urban network. Propose real-time traffic signal control strategies that can be used by US DOT to mitigate congestion on detected links. Research &develop network decomposition technique to make map-matching algorithm run in parallel on different executers &thereby allowing it to process real-time probe vehicle data in reasonable compute time. PhD, Civil & Environmental Engrg, Industrial Engrg &Operations Research, or Physics. 12 mos exp as Researcher, Engineer, Graduate Research Asst, or related, researching or developing real-time network-wide traffic signal control strategy for congested urban networks, &implementing traffic signal control strategy in Python, or related. Remote: This option does not require employee to be on-site full-time to perform most effectively. The employee’s role enables them to work off-site on a permanent basis. Mail resume to Ref#3015-405, GM Global Mobility, 300 Renaissance Center, MC:482-C32-C66, Detroit, MI 48265.