Nature-Inspired Optimal Route Network Design for Shared Autonomous Vehicles

Alpos, Theodoros; Iliopoulou, Christina; Κεπαπτσόγλου, Κωνσταντίνος

doi:10.3390/vehicles5010002

Cited by 2 publications

(2 citation statements)

References 51 publications

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“…ACO is considered one of the best performing algorithms for solving VRPs [33]. The specification of pheromone values and related update processes can be found in [34], while solution evaluation and constraint handling are identical to the proposed GA. For the ACO algorithm, we also run five experiments of 1000 iterations and use a population size of 25, comparing to the best results obtained in our preliminary experiments. Table 4 shows the corresponding results.…”

Section: Ga Performance Validationmentioning

confidence: 99%

Last-Mile Logistics Network Design under E-Cargo Bikes

Papaioannou

Iliopoulou

Κεπαπτσόγλου

2023

Future Transportation

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E-cargo bikes, i.e., electric bicycles equipped with baskets for transporting goods, are perceived as an advantageous solution for urban last-mile logistics. Particularly for short distances and low volumes of goods, the use of e-cargo bikes is ideal in urban areas where access of conventional cars may be prohibited. In this context, this study presents an e-cargo bike routing model for urban deliveries. The problem is formulated as a Capacitated Vehicle Routing Problem (CVRP), which takes several aspects into account, such as restrictions on bicycle capacity, road grade and workload balancing. A mathematical model is constructed to solve the problem, and a Genetic Algorithm (GA) is applied. Results on a case study in Athens, Greece are presented and analyzed, highlighting the applicability of the model in real-world operations, yielding reasonable results in short computational times.

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Section: Ga Performance Validationmentioning

confidence: 99%

Last-Mile Logistics Network Design under E-Cargo Bikes

Papaioannou

Iliopoulou

Κεπαπτσόγλου

2023

Future Transportation

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“…In the context of road transport companies, Caban et al conducted statistical analyses of maintenance parameters for vehicles [32]. Their research emphasizes the importance of analyzing maintenance data to identify trends, optimize SI schedules, and reduce operational costs [50]. By leveraging statistical models, organizations can make data-driven decisions and allocate resources more efficiently.…”

Section: Introductionmentioning

confidence: 99%

An Analysis of the Correct Frequency of the Service Inspections of German Passenger Cars—A Case Study on Kazakhstan and Poland

Nurkusheva,

Bembenek,

Berdychowski

et al. 2024

Vehicles

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This article presents a case study on estimating the real service inspection intervals for German-brand passenger cars in Kazakhstan and Poland. This study aimed to identify disparities between the official recommendations of manufacturers for car maintenance and the real data collected in these two countries. The following passenger cars were examined: Audi A6, Q5, and Q8; Porsche Cayenne and Cayenne coupe; and Volkswagen Passat, Polo, Teramont, Tiguan, Touareg, Arteon, Golf, T-Cross, Tiguan all space, Touran, T-Roc, and Up. To assess the difference between real and recommended values, the manufacturer criteria of a recommended mileage of 15,000 and 30,000 km or a time frame of 365 and 730 days to the first service inspection were applied. The data analysis showed that in Kazakhstan, 31.4% of cars did not meet the warranty conditions, while in Poland, it was 21.0%. The dominant criterion that was not met was the time criterion. The assessment of these factors emphasizes the importance of customizing vehicle maintenance schedules to the specific conditions and driving behaviors prevalent in each country. The practical contribution of the article lies in uncovering the discrepancies between official manufacturer recommendations for car maintenance and the actual data collected in Kazakhstan and Poland. By identifying specific models, Volkswagen Touareg and Tiguan in Kazakhstan and Volkswagen Up in Poland, for which the maintenance intervals deviated significantly from those recommended, this study offers valuable insights for optimizing service schedules and improving the efficiency of maintenance practices in these countries. From a scientific perspective, this article contributes by providing empirical evidence of real-world maintenance behaviors for German-brand passenger cars.

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Nature-Inspired Optimal Route Network Design for Shared Autonomous Vehicles

Cited by 2 publications

References 51 publications

Last-Mile Logistics Network Design under E-Cargo Bikes

Last-Mile Logistics Network Design under E-Cargo Bikes

An Analysis of the Correct Frequency of the Service Inspections of German Passenger Cars—A Case Study on Kazakhstan and Poland

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