City scanner: Building and scheduling a mobile sensing platform for smart city services
A large number of vehicles routinely navigate through city streets; with on-board sensors,
they can be transformed into a dynamic network that monitors the urban environment …
they can be transformed into a dynamic network that monitors the urban environment …
Embedded CNN based vehicle classification and counting in non-laned road traffic
Classifying and counting vehicles in road traffic has numerous applications in the
transportation engineering domain. However, the wide variety of vehicles (two-wheelers …
transportation engineering domain. However, the wide variety of vehicles (two-wheelers …
Smartphone based traffic state detection using acoustic analysis and crowdsourcing
D Vij, N Aggarwal - Applied Acoustics, 2018 - Elsevier
Abstract Typically an Intelligent Transportation System (ITS) employs various types of
infrastructure-based technologies into vehicles and roadways for monitoring traffic. But these …
infrastructure-based technologies into vehicles and roadways for monitoring traffic. But these …
A novel segment-based approach for improving classification performance of transport mode detection
Transportation planning and solutions have an enormous impact on city life. To minimize the
transport duration, urban planners should understand and elaborate the mobility of a city …
transport duration, urban planners should understand and elaborate the mobility of a city …
Urban map inference by pervasive vehicular sensing systems with complementary mobility
Accurate and up-to-date digital road maps are the foundation of many mobile applications,
such as navigation and autonomous driving. A manually-created map suffers from the high …
such as navigation and autonomous driving. A manually-created map suffers from the high …
Toward enabling convenient urban transit through mobile crowdsensing
The smart cities of the future are expected to be serviced by advanced, personalized
multimodal transit systems, charged with timely transport of citizens. Optimizing routes on …
multimodal transit systems, charged with timely transport of citizens. Optimizing routes on …
Mobile+ cloud: Opportunities and challenges
P Singh - Cognitive Analytics: Concepts, Methodologies, Tools …, 2020 - igi-global.com
A mobile phones provides portability and personalized computing with ubiquitous
connectivity. This combination makes them an ideal choice to use for various applications of …
connectivity. This combination makes them an ideal choice to use for various applications of …
Load-balanced task allocation for improved system lifetime in mobile crowdsensing
Mobile CrowdSensing (MCS) applications rely on sensor data collected from a number of
mobile participant devices; the participant devices need to sustain in the system for longer …
mobile participant devices; the participant devices need to sustain in the system for longer …
Heterogeneous model integration for multi-source urban infrastructure data
Data-driven modeling usually suffers from data sparsity, especially for large-scale modeling
for urban phenomena based on single-source urban-infrastructure data under fine-grained …
for urban phenomena based on single-source urban-infrastructure data under fine-grained …
An in-depth analysis of the impact of battery usage patterns on performance of task allocation algorithms in sparse mobile crowdsensing
Mobile Crowdsensing leverages the sensing capabilities of multiple mobile devices to
execute large-scale sensing tasks by breaking them into smaller tasks for execution on …
execute large-scale sensing tasks by breaking them into smaller tasks for execution on …