Smart Mobility: A Systematic Literature Review of Mobility Assistants to Support Multi-modal Transportation Situations in Smart Cities

Rocha, Nelson Pacheco da; Dias, Ana; Santinha, Gonçalo; Rodrigues, Mário; Queirós, Alexandra; Rodrigues, Carlos

doi:10.1007/978-3-030-49264-9_27

Cited by 7 publications

(1 citation statement)

References 19 publications

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“…Data analysis and wireless sensor network (WSN) technologies were used to create an intelligent system that could track the situation of urban traffic congestion in real-time. The concept of a reliable cloud-based smart transportation system that prioritizes driver safety on the road [11] included services like traffic congestion, economy, pleasant driving, and pollution. Applications for smart transport are well suited for wireless-based technologies [12].…”

Section: Figure 1 Construction Of the Prospective Smart Transportatio...mentioning

confidence: 99%

On-demand route allocation: A smart transportation scheme

Md Shadman Sakib Showrov,

Md Riaz Ahmad Shuvo,

Mohammad Yeasin Newaj Khan

et al. 2023

Int. J. Sci. Res. Arch.

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For effective crowd mobility, smart cities must have smart transportation. Smart cities need a transportation system that is intelligent, simple, and effective. Here is a creative idea for modernizing the current public transit system. Hardware modules based on the Internet of Things (IoT) that are required for implementation are discussed in this work. Traffic circumstances and extra elements have been added to Dijkstra’s shortest path method. The proposed algorithm has been tested in a number of circumstances, and the outcomes have been displayed accordingly. At a cheaper cost, the suggested solution can upgrade the current infrastructure. With various request counts, the algorithm performs well.

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Section: Figure 1 Construction Of the Prospective Smart Transportatio...mentioning

confidence: 99%

On-demand route allocation: A smart transportation scheme

Md Shadman Sakib Showrov,

Md Riaz Ahmad Shuvo,

Mohammad Yeasin Newaj Khan

et al. 2023

Int. J. Sci. Res. Arch.

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Are Smart City Applications Aiming to Improve Tourist Experience Ready for Translation and Dissemination?

Rocha

Dias

Santinha

et al. 2020

Smart Innovation, Systems and Technologies

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Assessment of the activity scheduling optimization method using real travel data

Toaza,

Esztergár-Kiss

2024

Transportation

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New mobility services are appearing with the support of technological developments. Part of them is related to activity scheduling of individuals and the optimization of their travel patterns. A novel method called Activity Chain Optimization (ACO) is an application of the Traveling Salesman Problem with Time Windows (TSP-TW) extended with additional assumptions about temporal and spatial flexibility of the activities, where the travelers can optimize the total travel time of their daily activity schedule. This paper aims to apply the ACO method and evaluate its performance using a real-world household survey dataset, where activity chains of up to 15 activities during a day are considered. The optimization is developed using the genetic algorithm (GA) metaheuristic with suitable parameters selected and the branch-and-bound exact algorithm. The findings demonstrate that the branch-and-bound solution exhibits superior performance for smaller activity chain sizes, while the GA outperforms computationally for activity chains with a size from nine. However, the GA found the solutions in only 2% of the time compared to the branch-and-bound method. By applying the ACO method, relevant time savings and emission reduction can be achieved for travelers, when realizing daily activities.

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Smart Mobility: A Systematic Literature Review of Mobility Assistants to Support Multi-modal Transportation Situations in Smart Cities

Cited by 7 publications

References 19 publications

On-demand route allocation: A smart transportation scheme

On-demand route allocation: A smart transportation scheme

Are Smart City Applications Aiming to Improve Tourist Experience Ready for Translation and Dissemination?

Assessment of the activity scheduling optimization method using real travel data

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