Trade-offs between mobility and equity maximization under environmental capacity constraints: A case study of an integrated multi-objective model

Abstract The implementation of RFID technology has been subject to ever-increasing popularity in relation to the traceability of products as one of the most cutting edge technologies. Implementing such a technology leads to an increase in the visibility management of products. Notwithstanding this, RFID communication performance is potentially affected by interference between the RFID devices. It is also subject to additional costs in investment that should be taken into account. Consequently, seeking a cost-effective design with a desired communication performance for RFID-enabled systems has become a key factor in order to be competitive in today's markets. This study presents a cost and performance-effective design for a proposed RFID-enabled passport tracking system through the development of a multi-objective model that takes in account economic, performance and social criteria. The developed model is aimed at solving the design problem by (i) allocating the optimal numbers of related facilities that should be established and (ii) obtaining trade-offs among three objectives: minimising implementation and operational costs; minimising RFID reader interference; and maximising the social impact measured in the number of created jobs. To come closer to real design in terms of considering the uncertain parameters, the developed multi-objective model was developed in terms of a fuzzy multi-objective model (FMOM). To solve the fuzzy multi-objective optimization problem, two solution methods were used and a decision-making method was employed to select the final trade-off solution. A case study was applied to examine the applicability of the developed model and the proposed solution methods. Highlights The problem is formulated as a fuzzy multi-objective programming model. Two solution methods are used to solve the optimization problem. A case study is investigated to examine the applicability of the model.

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Employing waterborne autonomous vehicles for museum visits: a case study in Amsterdam

European Transport Research Review ◽

10.1186/s12544-020-00459-x ◽

2020 ◽

Vol 12 (1) ◽

Author(s):

Helena Hang Rong ◽

Wei Tu ◽

Fábio Duarte ◽

Carlo Ratti

Keyword(s):

Artificial Intelligence ◽

Autonomous Vehicles ◽

Central Area ◽

Urban Tourism ◽

Innovative Approach ◽

Multi Objective ◽

Travel Experience ◽

Points Of Interest ◽

Objective Model

AbstractAmsterdam is a culturally rich city attracting millions of tourists. Popular activities in Amsterdam consist of museum visits and boat tours. By strategically combining them, this paper presents an innovative approach using waterborne autonomous vehicles (WAVs) to improve the museum visitation in Amsterdam. Multi-source urban data including I Amsterdam card data and Instagram hashtags are used to reveal museum characteristics such as offline and online popularity of museums and visitation patterns. A multi-objective model is proposed to optimize WAV routes by considering museum characteristics and travel experiences. An experiment in the Amsterdam Central area was conducted to evaluate the viability of employing WAVs. By comparing WAVs with land transportation, the results demonstrate that WAVs can enhance travel experience to cultural destinations. The presented innovative WAVs can be extended to a larger variety of points of interest in cities. These findings provide useful insights on embracing artificial intelligence in urban tourism.

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A multi-objective model to allocate multiple facilities at proposed locations in the multi-floor organization, using an improved genetic algorithm. Case Study: Isfahan Governorate

International Journal of Mathematics in Operational Research ◽

10.1504/ijmor.2020.10025353 ◽

2020 ◽

Vol 1 (1) ◽

pp. 1

Author(s):

Mehdi Safaei ◽

Meisam Nassrollahi

Keyword(s):

Genetic Algorithm ◽

Improved Genetic Algorithm ◽

Multi Objective ◽

Objective Model

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Multi-Objective Model for Dial-a-Ride Problems with Vehicle Speed Considerations

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198119848417 ◽

2019 ◽

Vol 2673 (11) ◽

pp. 161-171

Author(s):

Ta-Yin Hu ◽

Guan-Chun Zheng ◽

Tsai-Yun Liao

Keyword(s):

Service Quality ◽

Travel Time ◽

Travel Cost ◽

Time Data ◽

Time Service ◽

Multi Objective ◽

On Demand ◽

Trade Offs ◽

Proposed Model ◽

Objective Model

Mobility on demand (MOD) provides improved mobility options to all travelers with the use of on-demand information and real-time data. Several alternatives, such as Demand Responsive Transit Systems (DRTS) services, have been introduced around the world. Early DRTS provide on-demand service for areas of low-density population. Nowadays, DRTS are mostly used to provide door-to-door services, and this specific type of DRTS is called Dial-a-Ride Problems (DARP). In this study, a multi-objective model with three objectives, including travel cost, service quality, and eco-efficiency, is formulated. Travel cost is estimated through vehicle travel time, service quality is measured as customer waiting time, and eco-efficiency is measured through consumed fuel. A speed-level variable is introduced in the DARP model to describe travel time, waiting, and consumed fuel simultaneously. For each objective, a single objective model is constructed and implemented. Then, the weighting method with normalization (WMN) is applied for the multi-objective model to solve three objectives. The proposed model is solved through the Gurobi optimizer. Numerical experiments are conducted based on real geometric data in Kaohsiung City. The results show that the proposed model not only provides compromise solutions, but also improves the total performance in meeting three objectives. Pareto front is analyzed with many different combinations of weights to provide more information about the trade-offs between the three objectives. The results can be applied in practice to design vehicle routes for operators and to design DARP evaluation criteria for official agencies.

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