Towards Design of Sustainable Smart Mobility Services through a Cloud Platform 2020-01-1048
People and their communities are looking for transportation solutions that reduce travel time, improve well-being and accessibility, and reduce emissions and traffic congestion. Although new mobility services like ridesharing advertise improvements in these areas, closer inspection has revealed a discrepancy between industry claims and reality. Mobility service providers have the opportunity to leverage connected vehicle and connected device data through cloud-based APIs. We propose a CO2 data analytics framework that functions on top of a cloud platform to provide unique system-level perspectives on operating transportation services, from procuring the most environmentally and people friendly vehicles to scheduling and designing the services based on data insights. The motivation behind such an approach is two-fold: first, quantification enables transparency to build trust between the mobility service provider and their constituent communities; and second, identifying and acting to improve sustainability improves profitability. Using a benchmark problem with real-world vehicle and mobile device data, we demonstrate the functionality of our CO2 analytics framework.
Dominique Meroux, Cassandra Telenko, Zhen Jiang, Yan Fu