Mustafa Lokhandwala

• Purdue University West Lafayette

While increasing number of studies are using agent-based models to study the potential environmental, economic, and social impacts of shared autonomous vehicles, the idle vehicle dispatching in these models is often simplified to heuristic rules. Because the system performance of an autonomous taxi fleet can be significantly affected by the vehicle...

In a ride pooling system, riders may have varied behaviors in seeking pooled or non-pooled rides. It is important to understand the effect of these rider behaviors on the system performance in order to formulate policies to guide ride pooling implementation. Existing literature modeling ride pooling systems using agent-based models only considers t...

The transportation sector is undergoing three revolutions: shared mobility, autonomous driving, and electrification. When planning the charging infrastructure for electric vehicles, it is critical to consider the potential interactions and synergies among these three emerging systems. This study proposes a framework to optimize charging infrastruct...

This study analyzes the potential benefits and drawbacks of taxi sharing using agent-based modeling. New York City (NYC) taxis are examined as a case study to evaluate the advantages and disadvantages of ride sharing using both traditional taxis (with shifts) and shared autonomous taxis. Compared to existing studies analyzing ride sharing using NYC...

Commercial buildings account for over one-third of total electricity consumption and a significant fraction of greenhouse gas emissions in the U.S. Commercial cooling load has significantly increased, with all its concomitant adverse environmental consequences. Characterizing the key drivers of cooling demand is critical for devising effectual poli...