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Indonesia sebagai negara kepulauan memiliki pulau sebanyak 17.504 pulau, dan perairan laut yang luasnya 71% dari keseluruhan wilayah Indonesia. Hal ini menimbulkan masalah bagi rantai pasokan Indonesia karena terkendala pada transportasi dan biaya logistik yang besar. Berangkat dari permasalahan tersebut, Waresix hadir untuk membantu meringankan biaya logistik yang efisien secara end-to-end. Waresix merupakan sebuah perusahaan startup di bidang teknologi logistik yang menyediakan solusi penyimpanan end-to-end yaitu mencakup transportasi hingga kebutuhan pergudangan. Saat ini Waresix sedang melakukan pengembangan produk bernama Transportation Management System (TMS) versi ketiga untuk memperbaiki kekurangan dari versi sebelumnya. Pada penelitian ini, salah satu fitur TMS yang akan dibahas adalah Fleet Management yang berfungsi untuk mengelola truk dan driver milik vendor. Tujuan penelitian ini adalah untuk mengetahui bagaimana perbandingan teori design thinking dengan penerapannya selama mengerjakan fitur tersebut. Metode yang digunakan untuk melakukan penelitian ini adalah metode kualitatif komparasi dengan pendekatan kualitatif, serta menggunakan metode 5W+1H untuk menganalisis data. Hasil dari penelitian ini adalah teori design thinking diterapkan selama pengerjaan fitur Fleet Management. Walaupun ada beberapa hal yang tidak dilakukan dalam tahapannya, tetapi tidak sampai mengganggu proses dari design thinking itu sendiri.

Intelligent Transportation System (ITS) heavily relies on the unique mobile ad-hoc network (MANET) known as the vehicular ad-hoc network (VANET). The convenience that the Location Based Service (LBS), security issues arising from VANETs' great portability. Among the most widely used privacy-preserving techniques, distributed k-anonymity does not consider users' reliability, which results in hostile vehicle tracking. Therefore, Blockchain-enabled, Trust and Location dependent-Privacy Preserving (BTLB-PP) authentication system in VANET to overcome issues. Trust Management (TM) based on Dirichlet distribution, client and member will only collaborate with vehicles they confide by explicitly examining various prerequisites of claimed vehicle and collaborative vehicle during construction of unidentified obfuscation region and integrating attributes of these two functions. Using blockchain, a data structure has been proposed to promptly register trust of vehicles on publicly available blocks, allowing any vehicle to retrieve. In the trials, tests on various datasets have been run. Suggested system is resistant to multiple trust model threats, improving the security of vehicles' confidentiality and privacy. The performance evaluation metrics are precision, recall, f-measure and false positive rate (FPR) are used to evaluate the proposed system. Results from the simulation show that the proposed method is efficient and practical in reality. The suggested method was tested in a simulated traffic situation to verify its effectiveness.

Study and assessment of applications of a driver’s trip ticket within the scope of a motor transport company’s digital transformation are of practical interest. One of the functions of a trip ticket is ensuring road traffic safety during transportation, as it document ally confirms that the vehicle is technically sound and the driver has passed a medic al examination. Moreover, the trip ticket also allows monitoring if the driver complies with the work and rest schedule. The trip ticket is a document confirming the reasonableness of the amount spent by the motor transport company. Study of a digital system for a motor transport company management has demonstrated the errors or fraud of employees during trip tickets processing. A conceptual diagram of the Transportation Management System is presented, which provides the application of route optimization programs, the results of vehicles satellite monitoring, the formation of daily tasks, and the preparation of work reports. This is the basis we propose for improving business processes to increase the efficiency of transport activities. Purpose: study of the role of trip tickets and their processing by a digital management system in increasing the efficiency of a motor transport company. Methodology: Process Mining associated with keeping and processing trip tickets. Results: Collected statistics allows improving business processes of the motor transport company to increase the efficiency of its activities. Practical implications: Companies with any form of incorporation and in any economic sector operating motor vehicles.

Due to the increasingly popular e-commerce and rapidly growing global market of delivery services, transportation management system (TMS) has been playing a critical role in minimizing transportation delay and cost as well as improving reliability. However, how to efficiently keep track of running vehicles and judiciously store their corresponding trajectories become a key issue in the presence of scarce wireless bandwidth and limited storage space. In this paper, we propose a novel mobile trajectory reduction scheme, called T-Reduce, to reduce the size of trajectory data stored in a TMS server. We first develop a path refinement operation to adjust raw location update data transmitted from vehicles to a given road topology as close as possible to improve their location accuracy. Second, we develop a route matching operation consisting of three sub-operations, route extraction, route recognition, and trajectory generation, for the server to identify and extract a set of routes by decomposing the received location update data. Then, the server can store each trajectory as a set of corresponding route ids instead of storing entire location update data. We set up a small-scale testbed, implement the proposed scheme with a real-world trace data collected from a logistic company, and conduct extensive experiments for performance evaluation and comparison. The experimental results show that the proposed scheme can significantly reduce the average trajectory error and route information up to 26.4% and 88%, respectively, compared to that of two prior trajectory-based and corner-based approaches. The proposed approach can also achieve up to 5.72 times cost efficiency compared to the prior approaches.