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A Framework for Smart Freight Mobility with Crowdsourcing

Chandra, S and Naik, RT and Jimenez, J (2020) A Framework for Smart Freight Mobility with Crowdsourcing. In: Transportation Research Procedia, 26-31 May 2019, Indian Institute of Technology Mumbai, pp. 494-502.

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Official URL: https://dx.doi.org/10.1016/j.trpro.2020.08.055


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. © 2020 The Authors. Published by Elsevier B.V.

Item Type: Conference Paper
Publication: Transportation Research Procedia
Publisher: Elsevier B.V.
Additional Information: cited By 0; Conference of 2019 World Conference Transport Research, WCTR 2019 ; Conference Date: 26 May 2019 Through 31 May 2019; Conference Code:163033
Keywords: crowdsourcing, smart freight, routing, mobility, exit ramp, congestion
Department/Centre: Division of Mechanical Sciences > Mechanical Engineering
Date Deposited: 17 Nov 2020 11:55
Last Modified: 17 Nov 2020 11:55
URI: http://eprints.iisc.ac.in/id/eprint/66946

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