Planning Multi-Modal Transportation Problems

Florez, José E.; Reyna, Álvaro Torralba Arias de; Garcı́a, Javier; López, Carlos Linares; García-Olaya, Ángel; Borrajo, Daniel

doi:10.1609/icaps.v21i1.13466

Cited by 16 publications

(4 citation statements)

References 13 publications

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“…17. For future work, we intend to include the option to switch among multiple transport modes (e.g., train→walk→taxi→bus) in the same spirit as (Flórez et al 2011;Botea, Nikolova, and Berlingerio 2013;Botea and Braghin 2015), and also consider uncertainty in POI visit durations due to crowds and long queues.…”

Section: Discussionmentioning

confidence: 99%

Towards Next Generation Touring: Personalized Group Tours

Lim

Chan

Leckie

et al. 2016

ICAPS

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Recommending and planning tour itineraries are challenging and time-consuming for tourists, hence they may seek tour operators for help. Traditionally tour operators have offered standard tour packages of popular locations, but these packages may not cater to tourist's interests. In addition, tourists may want to travel in a group, e.g., extended family, and want an operator to help them. We introduce the novel problem of group tour recommendation (GroupTourRec), which involves many challenges: forming tour groups whose members have similar interests; recommending Points-of-Interests (POI) that form the tour itinerary and cater for the group's interests; and assigning guides to lead these tours. For each challenge, we propose solutions involving: clustering for tourist groupings; optimizing a variant of the Orienteering problem for POI recommendations; and integer programming for tour guide assignments. Using a Flickr dataset of seven cities, we compare our proposed approaches against various baselines and observe significant improvements in terms of interest similarity, total/maximum/minimum tour interests and total tour guide expertise.

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Section: Discussionmentioning

confidence: 99%

Towards Next Generation Touring: Personalized Group Tours

Lim

Chan

Leckie

et al. 2016

ICAPS

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“…Scheduling of jobs on parallel machines is a well-known problem which has been optimised by minimising completion time and delivery time (Mateo et al, 2018). Flórez et al (2011) studied multimodal TP where a set of goods is being transported from various sources to different destination with the combinations of at least two mode of transport. They combined linear programming with automated planning techniques to obtain good quality solutions.…”

Section: Introductionmentioning

confidence: 99%

Analysing impact of strategies adopted by decision makers on performance parameters of bi-criteria transportation problem

Das¹

2022

IJAOM

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The most common methodology adopted for evaluation of optimal transportation schedule is the conventional cost benefit analysis which provides decision makers with a monetary assessment of a transportation schedule. A mechanism is needed to capture the impact of strategy adopted by decision makers in case of bi-criteria transportation problem on the performance parameters like cost and time. In this paper, an algorithm has been proposed to solve bi-criteria transportation problem with the objective of minimising both cost and time which satisfies the constraints of demand and supply. The algorithm also enables one to obtain the optimal transportation schedule by incorporating the decision makers' priority towards cost and time. Consequently, the algorithm provides a scope to evaluate the impact of strategy adopted by decision makers in obtaining the optimal solution on total cost and time of transportation. The algorithm is explained with the help of an elaborate illustration. The result obtained by the proposed algorithm is compared with that suggested by researchers in the past for validation. The impact of variation in decision maker's strategy is assessed in terms of percentage change in total cost of transportation and maximum time taken for transportation following the optimal route.

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“…Kadhim B. S. Aljanabi and Anwar Nsaif Jasim proposed an approach for solving transportation problem using modified Kruskal's Algorithm [6]. Jose E. Florez et al proposed a new model for planning Multi-Modal transportation problems [7].…”

Section: Introduction (Heading 1) (Times New Roman 11 Bold)mentioning

confidence: 99%

A New Approach for Solving Multi Products Transportation Problem

Jasim

Aljanabi

2021

Jour. Kufa Math. Comp.

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— The problem of transportation is studied in many areas, most importantly in the field of logistics and operations management. The distribution problem of goods and commodities from sources to destinations is an important problem where many methods have been used to obtain its optimum solution, which represents the minimum cost of distribution the goods from sources to destinations. Generally, the transportation classical cost of one unit of a good is depending on the source and the destination. In this paper, we suggest an approach to obtain a solution to the transportation problem consisting of two products or more and then by using the modified Kruskal’s algorithm we find the minimum feasible solution.

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Planning Multi-Modal Transportation Problems

Cited by 16 publications

References 13 publications

Towards Next Generation Touring: Personalized Group Tours

Towards Next Generation Touring: Personalized Group Tours

Analysing impact of strategies adopted by decision makers on performance parameters of bi-criteria transportation problem

A New Approach for Solving Multi Products Transportation Problem

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