عرض بسيط للتسجيلة

المؤلفMasoud, Mahmoud
المؤلفElhenawy, Mohammed
المؤلفLiu, Shi Qiang
المؤلفAlmannaa, Mohammed
المؤلفGlaser, Sebastien
المؤلفAlhajyaseen, Wael
تاريخ الإتاحة2023-04-05T10:30:43Z
تاريخ النشر2023-01-18
اسم المنشورSustainability (Switzerland)
المعرّفhttp://dx.doi.org/10.3390/su15031869
الاقتباسMasoud, M., Elhenawy, M., Liu, S. Q., Almannaa, M., Glaser, S., & Alhajyaseen, W. (2023). A Simulated Annealing for Optimizing Assignment of E-Scooters to Freelance Chargers. Sustainability, 15(3), 1869.
الرقم المعياري الدولي للكتاب2071-1050
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85147866169&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/41696
الملخصFirst- and last-mile trips are becoming increasingly expensive and detrimental to the environment, especially within dense cities. Thus, new micro-mobility transportation modes such as e-scooter sharing systems have been introduced to fill the gaps in the transportation network. Furthermore, some recent studies examined e-scooters as a green option from the standpoint of environmental sustainability. Currently, e-scooter charging is conducted by competitive freelancers who do not consider the negative environmental impact resulting from not optimizing the fuel efficiency of their charging trips. Several disputes have been recorded among freelance chargers, especially when simultaneously arriving at an e-scooters location. The paper aims to find the optimal tours for all chargers to pick up e-scooters in the form of routes, such that each route contains one charger, and each e-scooter is visited only once by the set of routes, which are typically called an E-Scooter-Chargers Allocation (ESCA) solution. This study develops a mathematical model for the assignment of e-scooters to freelance chargers and adapts a simulated annealing metaheuristic to determine a near-optimal solution. We evaluated the proposed approach using real-world instances and a benchmark-simulated dataset. Moreover, we compare the proposed model benchmark dataset to the baseline (i.e., state-of-practice). The results show a reduction of approximately 61–79% in the total distance traveled, leading to shorter charging trips.
راعي المشروعThe authors would like to acknowledge the financial and in-kind support from the Centre for Accident Research and Road Safety at the Queensland University of Technology, Brisbane, Australia.
اللغةen
الناشرMultidisciplinary Digital Publishing Institute (MDPI)
الموضوعassignment problem
e-scooters
freelancers
micro-mobility
simulated annealing
العنوانA Simulated Annealing for Optimizing Assignment of E-Scooters to Freelance Chargers
النوعArticle
رقم العدد3
رقم المجلد15
ESSN2071-1050
dc.accessType Open Access


الملفات في هذه التسجيلة

Thumbnail

هذه التسجيلة تظهر في المجموعات التالية

عرض بسيط للتسجيلة