A Framework for Smart Freight Mobility with Crowdsourcing
Shailesh Chandra, R. Thirumaleswara Naik, Jose Jimenez · Transportation research procedia · 2020
In this paper, crowdsourcing is used to improve operations of freight truck. The goal is to improve the efficiency of freight in being to detour when an unforeseen downstream congestion occurs on its path. This is defined as one of the features of a ‘smart freight’ truck. The detour is achieved by having access to crowdsourced data of an imminent congestion on its route. In this paper, a discrete-time Markov chain (DTMC) model is developed to develop an efficiency improvement model. Example using ramp exit 24 off interstate 405 (I-405) and I-605 in the Southern California Region show improvements in freight truck efficiencies for the detour. It is observed that almost 33% of freight trucks subscribed to crowdsourced information could use the ramp exit to avoid downstream congestion. Finally, formulation for probability mass function is also presented which can be used within traffic simulation software packages to enhance both passenger and truck freight operations using crowdsourcing