Online Vehicle Dispatch: from Assignment to Scheduling

Zhao, Kangjia; Chen, Wenqing; Lye, Kong Wei

doi:10.1109/icdmw.2018.00094

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…The system consists of a microcontroller and GSM module that costs less as compared to the other existing systems. Kangija (2018) [8] have proposed vehicle scheduling methodology to solve online vehicle dispatch problem. An optimization framework is developed and new approach is presented to solve the gap between the big problem size and limited computing time.…”

Section: Literature Reviewmentioning

confidence: 99%

An Application for Load Sharing in Trucks

Sabeenian*,

Kumar,

Ravi

et al. 2019

IJRTE

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The paradigm of the world has shifted to mobile applications. The services that you need are at your fingertips because of the mobile applications which provide online access to the services you have. Several mobile applications like uber freight, ola are present to facilitate the freight service providers. The existing freight management system depends on the model of separating the users on the basis of fleet provider, normal user and one with the large number of vehicles called as freight provider. For a user to login to the system the user can easily enter his desired destination and send his or her belongings to that destination with the online reservation platform provided by the mobile application. Though the existing system is good but it has one limitation. The limitation of all the existing system is that they don’t monitor the load in the vehicle. In order to overcome this limitation, we propose a system which will monitor the load present in the vehicle in real time. We propose a cross platform mobile application which will work on all the available platform. The main aim of the proposed system is to monitor the load present in the truck. The proposed system will use the ultrasonic sensor in the load bearing part of the truck and the total volume as well as the available space in the truck will be continuously monitored and notified to the user who wants to send the load. We will also take into consideration the density of the material so that if the user wants to add a new load the existing load won’t be affected. The path of the truck will also be monitored from origin to destination. The proposed method will develop an application for continuous monitoring of the load in the truck. The main application of the system is use in freight management system for monitoring the load of the vehicle and notifying the users whether the space is available for the vehicle to carry their loads.

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Section: Literature Reviewmentioning

confidence: 99%

An Application for Load Sharing in Trucks

Sabeenian*,

Kumar,

Ravi

et al. 2019

IJRTE

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“…While real-time routing and matching in ride-sharing differs from the set up we consider for same-day delivery, it is still necessary to highlight recent advances in this area. Zhao et al [101] consider online vehicle dispatch problem and propose a sequenced minimum cost flow algorithm to solve it. The used real data from Grab (South-East Asian ride-hailing company) to validate their approach.…”

Section: Crowdshippingmentioning

confidence: 99%

Robust prediction and decision making for transportation networks

Prokhorchuk¹

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The contributions of the co-authors are as follows:• Prof Dauwels proposed the initial project, suggested the use of copula models, and helped to revise the manuscript • I preprocessed the data, wrote the code, designed the experiments and prepared the manuscript • V.P. Payyada helped to revise the manuscript and to ensure the code correctness • Prof Jaillet provided feedback throughout the project and helped to revise

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