Integrated smartcard solutions: do people want one card for all their services?

Evans, Gareth; Guo, Aw; Blythe, PT; Burden, Mike

doi:10.1080/03081060.2015.1039233

Cited by 5 publications

(2 citation statements)

References 27 publications

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“…In fact, when enabled by other smart technology, DRT systems have been able to use advances in data collection, distribution, and analysis to improve decision-making, simplify ticketing, and enhance route planning, scheduling, and vehicle selection [29,78,79]. Data obtained from smart ticketing systems can be integrated and used to analyze the behavior of passengers and identifying service gaps [80]. AV are also important because without the need for a driver the internal layouts can be reconfigured to provide comfort and access based on special needs [72].…”

Section: Physical and Economic Dimensionsmentioning

confidence: 99%

How Can Smart Mobility Innovations Alleviate Transportation Disadvantage? Assembling a Conceptual Framework through a Systematic Review

2020

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Transportation disadvantage is about the difficulty accessing mobility services required to complete activities associated with employment, shopping, business, essential needs, and recreation. Technological innovations in the field of smart mobility have been identified as a potential solution to help individuals overcome issues associated with transportation disadvantage. This paper aims to provide a consolidated understanding on how smart mobility innovations can contribute to alleviate transportation disadvantage. A systematic literature review is completed, and a conceptual framework is developed to provide the required information to address transportation disadvantage. The results are categorized under the physical, economic, spatial, temporal, psychological, information, and institutional dimensions of transportation disadvantage. The study findings reveal that: (a) Primary smart mobility innovations identified in the literature are demand responsive transportation, shared transportation, intelligent transportation systems, electric mobility, autonomous vehicles, and Mobility-as-a-Services. (b) Smart mobility innovations could benefit urban areas by improving accessibility, efficiency, coverage, flexibility, safety, and the overall integration of the transportation system. (c) Smart mobility innovations have the potential to contribute to the alleviation of transportation disadvantage. (d) Mobility-as-a-Service has high potential to alleviate transportation disadvantage primarily due to its ability to integrate a wide-range of services.

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Section: Physical and Economic Dimensionsmentioning

confidence: 99%

How Can Smart Mobility Innovations Alleviate Transportation Disadvantage? Assembling a Conceptual Framework through a Systematic Review

2020

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“…The information and incentives that emerge from the developed system increase compliance. A system was developed to improve transport information to the public with location tracking and e-ticketing [16][17][18]. The system developed has succeeded in increasing convenience and providing real-time information to commuters directly.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Traffic Light Control System with Priority Lane Intervention

Sunardi¹,

Yudhana²,

Siswaya³

et al. 2022

IJSSE

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The current traffic light system uses a lot of fixed time signals. Fixed time signals cause traffic jams in one or several lanes due to traffic congestion. On the other hand, emergency vehicles cannot get their rights to the maximum due to the density of these vehicles. This study aims to build an intelligent traffic light with a vehicle density sensor device and a smartphone application to increase the accuracy of light timing and parse traffic density. Furthermore, in an emergency, they can still overcome and accelerate the speed of passing vehicles by manually intervening with the traffic light through a smartphone application connected wirelessly to the traffic light. The intelligent traffic light is made with Arduino Bluetooth Control (ABC), Bluetooth HC-05, Arduino Mega 2560, and infrared (IR) sensor E18-D80NK. The results show that the green light setting is based on the input from the IR sensor both near sensor (NS) and far sensor (FS) work well. When NS detects a vehicle with a green light, it increases Y seconds from the default X seconds. If FS detects a vehicle with a green light, it increases by Z seconds. Settings with the ABC application can randomly turn on the green light in four lanes according to the will of the smartphone operator.

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