scholarly journals Enabling and Emerging Sensing Technologies for Crowd Avoidance in Public Transportation: A Review

2021 ◽  
Author(s):  
Donatella Darsena ◽  
Giacinto Gelli ◽  
Ivan Iudice ◽  
Francesco Verde
Keyword(s):  
Information And Communication Technologies ◽  
Public Transportation ◽  
Urban Areas ◽  
Intelligent Transportation System ◽  
Route Planning ◽  
Transportation System ◽  
Normal Operation ◽  
Sustainable Mobility ◽  
Detection Techniques ◽  
Bus Stops

Avoidance of crowding situations in public transportation (PT) systems is crucial to foster sustainable mobility, by increasing the user’s comfort and satisfaction during normal operation, as well as to manage emergency situations, such as pandemic crises as recently experienced with COVID-19 limitations. This paper presents a comprehensive review of several crowd detection techniques based on Internet of Things (IoT) technologies, which can be adopted to avoid crowding in various segments of the PT system (buses/trams/trains, railway/subway stations, and bus stops). To discuss such techniques in a clear systematic perspective, we introduce a reference framework called SALUTARY (Safe and Reliable Public Transportation System), which in our vision employs modern information and communication technologies (ICT) in order to: (i) monitor and predict crowding events; (ii) adapt in real-time PT system operations, i.e., by modifying service frequency, timetables, routes, and so on; (iii) inform the users of crowding events by electronic displays installed in correspondence of the bus stops/stations and/or by mobile transport applications. It is envisioned that the new anti-crowding functionalities can be incrementally implemented as an addon to the intelligent transportation system (ITS) platform, which is already in use by major PT companies operating in urban areas. Moreover, it is argued that in this new framework, additional services can be delivered, such as, e.g., online ticketing, vehicle access control and reservation in severely crowded situations, and evolved crowd-aware route planning.

scholarly journals Enabling and Emerging Sensing Technologies for Crowd Avoidance in Public Transportation: A Review

2021 ◽  
Author(s):  
Donatella Darsena ◽  
Giacinto Gelli ◽  
Ivan Iudice ◽  
Francesco Verde
Keyword(s):  
Information And Communication Technologies ◽  
Public Transportation ◽  
Urban Areas ◽  
Intelligent Transportation System ◽  
Route Planning ◽  
Transportation System ◽  
Normal Operation ◽  
Sustainable Mobility ◽  
Detection Techniques ◽  
Bus Stops

Avoidance of crowding situations in public transportation (PT) systems is crucial to foster sustainable mobility, by increasing the user’s comfort and satisfaction during normal operation, as well as to manage emergency situations, such as pandemic crises as recently experienced with COVID-19 limitations. This paper presents a comprehensive review of several crowd detection techniques based on Internet of Things (IoT) technologies, which can be adopted to avoid crowding in various segments of the PT system (buses/trams/trains, railway/subway stations, and bus stops). To discuss such techniques in a clear systematic perspective, we introduce a reference framework called SALUTARY (Safe and Reliable Public Transportation System), which in our vision employs modern information and communication technologies (ICT) in order to: (i) monitor and predict crowding events; (ii) adapt in real-time PT system operations, i.e., by modifying service frequency, timetables, routes, and so on; (iii) inform the users of crowding events by electronic displays installed in correspondence of the bus stops/stations and/or by mobile transport applications. It is envisioned that the new anti-crowding functionalities can be incrementally implemented as an addon to the intelligent transportation system (ITS) platform, which is already in use by major PT companies operating in urban areas. Moreover, it is argued that in this new framework, additional services can be delivered, such as, e.g., online ticketing, vehicle access control and reservation in severely crowded situations, and evolved crowd-aware route planning.

scholarly journals Enabling and Emerging Sensing Technologies for Crowd Management in Public Transportation Systems: A Review

2021 ◽  
Author(s):  
Donatella Darsena ◽  
Giacinto Gelli ◽  
Ivan Iudice ◽  
Francesco Verde
Keyword(s):  
Real Time ◽  
Information And Communication Technologies ◽  
Public Transportation ◽  
Urban Areas ◽  
Transportation Systems ◽  
Normal Operation ◽  
Reference Architecture ◽  
Sustainable Mobility ◽  
Crowd Management ◽  
Bus Stops

Management of crowd information in public transportation (PT) systems is crucial to foster sustainable mobility, by increasing the user’s comfort and satisfaction during normal operation, as well as to cope with emergency situations, such as pandemic crises, as recently experienced with COVID-19 limitations. This paper presents a taxonomy and review of sensing technologies based on Internet of Things (IoT) for real-time crowd analysis, which can be adopted in various segments of the PT system (buses/trams/trains, railway/subway stations, and bus stops). To discuss such technologies in a clear systematic perspective, we introduce a reference architecture for crowd management, which employs modern information and communication technologies (ICT) in order to: (i) monitor and predict crowding events; (ii) adapt in real-time PT system operations, by modifying service frequency, timetables, routes, and so on; (iii) inform in real-time the users of the crowding status of the PT system, by means of electronic displays installed inside vehicles or at bus stops/stations, and/or by mobile transport applications. It is envisioned that the innovative crowd management functionalities enabled by ICT/IoT sensing technologies can be incrementally implemented as an add-on to traditional intelligent transportation system (ITS) platforms, which are already in use by major PT companies operating in urban areas. Moreover, it is argued that, in this new framework, additional services can be delivered, such as, e.g., on-line ticketing, vehicle access control and reservation in severely crowded situations, and evolved crowd-aware route planning.

scholarly journals Sustainabilization of Hanoi mobility approached from new residential areas: Will it be a city without motorbike?

2019 ◽  
Vol 13 (1) ◽  
pp. 89-99 ◽  
Author(s):  
Tran Minh Tung
Keyword(s):  
Public Transportation ◽  
Transportation System ◽  
Sustainable Transportation ◽  
Urban Traffic ◽  
Residential Areas ◽  
Sustainable Mobility ◽  
Improvement Project ◽  
Personal Mobility ◽  
Doi Moi ◽  
Level Of Satisfaction

Due to the policy of the Doi moi in Vietnam started in 1986, Hanoi has undergone many important changes. Currently, Hanoi's traffic is characterized by seemingly continuous motorcycle flows - a representative of high personal mobility in the context of rising incomes. Congestion, dust, pollution, insecurity, overload, etc., they are important keywords to describe Hanoi's urban traffic. Hanoi has put in place a number of policies to improve the transportation system. In 2017, in Hanoi's new mobility improvement project, there is a regulation on motorcycles: “The municipality will zone by limiting the activities of motorcycles according to the infrastructure and the service capacity of the public transportation system to stop motorcycle activities in the central districts in 2030” that becomes controversial. This article, based on the results of surveys assessing the level of satisfaction and desires of people about traffic at the KDTMs of Hanoi, analyzes the differences between the wishes of the municipality and the practices of Hanoi, through habits, modes of mobility of KDTM residents - the new residential areas of Hanoi that bring a different atmosphere of habitat compared to existing neighborhoods, by changing the mode of (re)making of the city. How will the traffic of KDTM residents be affected by this decision as well as how KDTMs will participate in the sustainable transportation of Hanoi?. It is the KDTMs with their “novelties” that will have to become pioneers creating opportunities of the changing of Hanoi traffic. Keywords: Hanoi; sustainable mobility; efficient transportation; motorcycle; KDTM (new residential area). Received 08 December 2018, Revised 30 January 2019, Accepted 30 January 2019

Telematics and Mobile Internet

2021 ◽  
pp. 373-396
Author(s):  
Gurkan Tuna ◽  
Korhan Cengiz
Keyword(s):  
Mobile Networks ◽  
Urban Areas ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Mobile Internet ◽  
Future Research ◽  
Internet Applications ◽  
Data Rates ◽  
Latency Jitter

Telematics technologies and vehicular communications enable various intelligent transportation system applications with different data flow requirements that must be considered by the communications infrastructure provider in terms of transmission reliability, latency, jitter, and security. To meet those requirements, the dynamic nature of traffic and spatiotemporal features of roads must be considered. In parallel with the full coverage in urban areas and increase in the data rates, mobile networks have been started to be widely used by intelligent transportation system applications, especially for gathering data from various sensors. In this chapter, firstly, the current situation of telematics applications for intelligent transportation system is focused on and then mobile internet and mobile internet based applications are reviewed. Second, how much benefit vehicle telematics and mobile internet applications can obtain from the evolution of mobile networks is analysed. Finally, future research directions in this domain are pointed out.

scholarly journals ANALYSIS OF THE OPERATIONAL DATA OF A PUBLIC TRANSPORTATION SYSTEM: A CASE-STUDY OF THE BUS RAPID TRANSIT (BRT), LAGOS STATE, NIGERIA

2020 ◽  
pp. 87-97
Author(s):  
OLUFIKAYO OLUWASEUN ADERINLEWO ◽  
Gbemileke Adekunle Akinyemi ◽  
Abayomi Afolayan ◽  
Abayomi Modupe
Keyword(s):  
Waiting Time ◽  
Public Transportation ◽  
Transportation System ◽  
Bus Rapid Transit ◽  
Rapid Transit ◽  
Lagos State ◽  
Public Transportation System ◽  
Bus Stops ◽  
Operational Data

This paper assesses the operational data of a public transportation system, using the Bus Rapid Transit in Lagos State as a case study. Demographic data was collected through the administration of questionnaires to the commuters; this was carried out to observe variations in the population of the commuters from different perspectives. Some other categories of data were collected which include boarding and alighting, headway, arrival rate of commuters, waiting time of commuters and travel time data. These data were presented and analysed with MS Excel and Minitab statistical softwares. Results from the boarding and alighting data showed bus stops with high flux of commuters, these were at Ojota, Ketu, Mile 12, Costain, CMS and TBS. Probability distribution charts were prepared to analyze the remaining sets of data. This was carried out to study the distribution and consistency of the data. Coefficients of variation for the data were also estimated to study the variability of the data. From the study, the data followed normal distribution and they were consistent such that they can be used for further analysis of the system. It can be concluded that the distribution depicts the real situation at the study location. Thus, bus stops with high density of commuters should be provided with more buses so as to reduce the waiting time of commuters.

Development of Intelligent Transportation System Data Management

1998 ◽  
Vol 1625 (1) ◽  
pp. 124-130 ◽  
Author(s):  
Robert E. Brydia ◽  
Shawn M. Turner ◽  
William L. Eisele ◽  
Jyh C. Liu
Keyword(s):  
Data Management ◽  
Urban Areas ◽  
Intelligent Transportation System ◽  
San Antonio ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Data Management System ◽  
Transportation Management ◽  
User Costs ◽  
System Data

The intelligent transportation system (ITS) components deployed in U.S. urban areas produce vast amounts of data. These ITS data often are used for real-time operations and then are discarded. Few transportation management centers have any mechanism for sharing the data resources among other transportation groups or agencies within the same jurisdiction. Meanwhile, transportation analysts and researchers often struggle to obtain accurate, reliable data about existing transportation performance and patterns. The development of an ITS data management system (referred to as ITS DataLink) that is used to store, access, analyze, and present data from the TransGuide center in San Antonio, Texas, is presented. Data outputs are both tabular and graphical. No user costs are associated with the system except for an Internet connection.

Smart Technologies for Sustainable Mobility

2016 ◽  
pp. 288-310
Author(s):  
Ozge Yalciner Ercoskun
Keyword(s):  
Information And Communication Technologies ◽  
Public Transport ◽  
Public Transportation ◽  
Positive Impact ◽  
Communication Technologies ◽  
Sustainable Mobility ◽  
Transit Systems ◽  
Transit Services ◽  
Information And Communication ◽  
Smart Technologies

The emergence of easy mapping tools, widespread cellular network, declining costs of smartphones and increasing internet use by public agencies provide new opportunities towards the betterment of public transport management. Applying decision support systems such as Geographic Information Systems (GIS) and Information and Communication Technologies (ICT) to public transportation tailors transit services to urban dwellers' needs, reducing eco-footprint while making them more accessible. This chapter aims to explore how GIS and ICT can be used for more eco-friendly public transport and improved sense of community. The chapter posits the positive impact of mobile phones and social media towards sustainable mobility. Multi-modal journey planners, mobile bus ticketing, demand responsive transit systems, eco-taxis, electric car and bicycle sharing are explained with examples from the world. The chapter concludes with a discussion of challenges and future options for using smartphones, social networking and the position of disadvantaged groups in sustainable mobility.

scholarly journals Trusted measurement and evaluation for intelligent transportation system products: A case study for traffic signal controller

2019 ◽  
Vol 11 (3) ◽  
pp. 168781401982959
Author(s):  
Ciyun Lin ◽  
Xiangyu Zhou ◽  
Bowen Gong
Keyword(s):  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Measurement Model ◽  
Transportation System ◽  
Traffic Signal ◽  
Normal Operation ◽  
Transport Sector ◽  
Operation Conditions ◽  
Evaluation Models ◽  
Measurement And Evaluation

This study proposes trusted measurement and evaluation models for intelligent transportation system products to provide technological means for the transport sector and government departments to detect the compliance and availability of intelligent transportation system products and consider the market access of intelligent transportation system products. Then, this study builds a trusted testing platform based on a hardware-in-loop system to test and validate trusted measurement and evaluation models of intelligent transportation system products. Finally, a traffic signal controller is tested and validated in the platform in different operation environments. The result shows that the trusted measurement model can accurately measure the trusted status in normal and non-normal operation conditions, and the trusted evaluation model can dynamically calculate the intelligent transportation system product’s trusted attributes, namely, the trusted evaluation values and comprehensive trusted evaluation values of the intelligent transportation system product, as the intelligent transportation system product’s operation environment changes.

scholarly journals Going carless in different urban fabrics: socio-demographics of household car ownership

2021 ◽  
Author(s):  
L. E. Karjalainen ◽  
M. Tiitu ◽  
J. Lyytimäki ◽  
V. Helminen ◽  
P. Tapio ◽  
...  
Keyword(s):  
Public Transportation ◽  
Urban Form ◽  
Urban Areas ◽  
National Level ◽  
Urban Environments ◽  
Neighborhood Density ◽  
Car Ownership ◽  
Sustainable Mobility ◽  
Demographic Profiles ◽  
Residential Distance

AbstractDiverse physical features of urban areas alongside socio-demographic characteristics affect car ownership, and hence the daily mobility choices. As a case of sustainable mobility, we explore how various urban environments and socio-demographics associate with the spatial and social distribution of household car ownership and carlessness in the Helsinki Metropolitan Area, Finland. Three urban fabrics characterizing the study area are established based on the transportation mode (walking, public transportation, or automobile) the physical urban environment primarily supports. The national level Monitoring System of Spatial Structure and Urban Form database, and the National Travel Survey (2016) are utilized to further include spatial and socio-demographic variables into our analysis across these fabrics. Our results show that households with and without cars differ in terms of residential distance to the city center, neighborhood density, house type, and socio-demographic profiles. Single pensioners and students are most likely to be carless, whereas families represent the opposite. Within the carless households the differences are also evident between different groups. For the more affluent households residing in dense and well-connected areas, and mostly possessing driver’s licenses, carlessness is presumably a choice. Contrarily, many other carless households represent the less affluent often located in the more distant, low-density, and less accessible areas, while also possessing less driver’s licenses, making carlessness more of a constraint, as the local urban fabric does not support such lifestyle. Consequently, carless households should be increasingly recognized as a focus group in sustainable urban planning in terms of identifiable best practices and potential vulnerability.

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