A Smart Information System for Passengers of Urban Transport Based on IoT

Estrada-Esquivel, Hugo; Rebollar, Alicia Martínez; Wences-Olguin, Pedro; Hernández, Yasmín; Ortiz-Hernandez, Javier

doi:10.3390/electronics11050834

Cited by 4 publications

(4 citation statements)

References 21 publications

(18 reference statements)

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“…Information systems for urban passenger transportation are currently based on the Internet of Things (IoT) [12]. Although this type of information system is capital intensive to implement on a larger scale, it provides an intelligent and reliable platform for passenger transportation in auto-piloted electric vehicles [13] as well as improving the information system by employing cloud services [14] and critical appraisal of web-based information systems [15].…”

Section: Table 1 Already Existing Passenger Destination Systemsmentioning

confidence: 99%

Passenger Destination System for Commercial Vehicles

Kommey

Tamakloe

Tchao

2022

IJAIT

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Public vehicles are predominantly the commonest and most widely used means of transport for humans in this current time. However, passengers who often commute with public vehicles mostly encounter the challenge of missing their destination primarily due to difficulties in communicating their destination to the driver, sleeping in the case of long-distance travel or the inability to recognize their destinations, and many more. In this paper, a fully functional and cost-effective passenger destination alert system for commercial vehicles (PDSCV) was developed. This designed passenger destination alert system provides solutions to the problems and as well meets the needs of some target groups such as the physically challenged. To solve these challenges, a GPS-based location module interfaced with a microcontroller unit was employed in the hardware prototype design. Destination stations were displayed and announced via an LCD and audio system respectively to generally alert all passengers on board the vehicle. The prototype also includes alert buttons beside every seat which were to be used by passengers in emergencies and to alert the driver to skip a particular terminal provided the bus is fully occupied and no passenger intends to alight. In addition to the hardware prototype, a software application was developed to provide further information to first-time travellers. The test and results from the entire system indicate a bridge in the communication gap between the driver and the passengers of commercial vehicles.

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Section: Table 1 Already Existing Passenger Destination Systemsmentioning

confidence: 99%

Passenger Destination System for Commercial Vehicles

Kommey

Tamakloe

Tchao

2022

IJAIT

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“…Various service innovations, ranging from competitive prices to easy access connected to the internet or computer [5], [23] have added to the attractiveness of this mode of transportation for consumers. For example, an intelligent information system lets passengers know the arrival time and availability of bus seats that go to their positions [24].…”

Section: Time-series Analysismentioning

confidence: 99%

Forecasting and Trend Analysis Bus Transportation During COVID-19 in Bali Land Using Time Series Method

Mardikawati¹,

Masyumi²,

Nugraha³

2022

UKaRsT

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Transportation functions as a link between tourist destinations. Since the COVID-19 pandemic hit, the transportation industry has experienced direct impacts. One is a decrease in transportation users due to increased travel costs. This has a direct impact on reducing public interest in visiting. This research aims to find out changes in services for inter-provincial buses in Bali during and after the pandemic. The data used is departure data: the number of autobus suppliers; the number of departing destinations; the number of trips; and the average number of passengers from January 2018 to April 2022. From this data, time series analysis and forecasting were carried out using the Minitab software. The findings of a time series study regarding the number of trips, the number of bus suppliers, and the average number of passengers have decreased over time. Still, the number of departure destinations from the island of Bali has increased. Based on the forecasting results, it is known that the number of bus suppliers and the number of departure destinations has increased. However, it does not match the data for January 2018. This shows that the connectivity of Bali Island and the surrounding islands has increased after the COVID-19 pandemic subsided. It is hoped that it can be used as material for formulating public transportation strategies and policies, especially inter-provincial bus services.

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“…IJRITCC | July 2023, Available @ http://www.ijritcc.org responsive, demand-adaptive, dial-a-ride, and on-demand are the various terms utilized for the usage of modern general transportation [9,10]. In demand-based transportation, the individual's need is considered while planning the general bus routing through flexible criteria [11,12].…”

mentioning

confidence: 99%

“…Estimate the fitness for all the population in the sight area using equation ( 4) Update the solution based on the levy flight using equation ( 8) Evaluate the feasibility using equation (10) Update the solution obtained based on the probability factor using equation ( 9) Evaluate the feasibility using equation (10) Update the global best solution End…”

mentioning

confidence: 99%

PAARGAMAN: Passenger Demand Provoked (On-The-Fly) Routing Of Intelligent Public Transport Vehicle with Dynamic Route Updation, Generation, and Suggestion

Ladha,

Chaubey

2023

IJRITCC

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Demand-based public bus service meets the need of passengers with less money, time, and resources by reducing the number of private vehicles on the road. In contrast, dynamic real-time demand-based routing faces challenges like elevated travel time due to the requested assignment based on the paths and vehicle availability. Hence, this research introduces a novel framework named Passenger Influence Bus Service-Intelligent Public Transport System (PIBS-IPTS) for efficient routing of available vehicles based on the demand of passengers. For this, optimal paths are elected from the known routes of the general vehicle through the Cuckoo Search (CS) optimization algorithm. Then efficient route prediction is employed by the Artificial Neural Network (ANN) for passenger flow. Here, the unavailability of the passenger request, such as source location or Destination locations, or the unavailability of both locations is updated while employing the path generation process. The path generation process ensures the reduction of request drops generated by the passenger, which elevates the usage of the general bus service. Here, for the optimal selection of routes from the identified routing paths, a multi-objective function based on traffic density, route condition, and route mobility is employed for the selection of a near-optimal global solution. The method’s performance is analyzed using MAE, RMSE, and MAPE and obtained the best values of 0.69, 0.72, and 0.74, respectively.

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A Smart Information System for Passengers of Urban Transport Based on IoT

Cited by 4 publications

References 21 publications

Passenger Destination System for Commercial Vehicles

Passenger Destination System for Commercial Vehicles

Forecasting and Trend Analysis Bus Transportation During COVID-19 in Bali Land Using Time Series Method

PAARGAMAN: Passenger Demand Provoked (On-The-Fly) Routing Of Intelligent Public Transport Vehicle with Dynamic Route Updation, Generation, and Suggestion

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