Using a smart city IoT to incentivise and target shifts in mobility behaviour—Is it a piece of pie?

S Poslad, A Ma, Z Wang, H Mei - Sensors, 2015 - mdpi.com
Whilst there is an increasing capability to instrument smart cities using fixed and mobile
sensors to produce the big data to better understand and manage transportation use, there …

Deep PCA based real-time incipient fault detection and diagnosis methodology for electrical drive in high-speed trains

H Chen, B Jiang, N Lu, Z Mao - IEEE Transactions on Vehicular …, 2018 - ieeexplore.ieee.org
Incipient fault detection and diagnosis (FDD) is a key technology for enhancing safety and
reliability of high-speed trains. This paper develops a real-time incipient FDD method named …

Optimization method in a vehicle-to-vehicle communication system

KT Rubin, J Betts-LaCroix - US Patent App. 13/633,561, 2013 - Google Patents
(57) ABSTRACT A method of optimizing a vehicle-to-vehicle communication system is
described. One embodiment uses a set of desired and defined metrics of Success …

A vehicle route management solution enabled by wireless vehicular networks

K Collins, GM Muntean - IEEE INFOCOM Workshops 2008, 2008 - ieeexplore.ieee.org
Traffic congestion is a very serious problem which is growing worse as the number of cars
on the road continues to increase, out-pacing the provision of road capacity. This paper …

Route-based vehicular traffic management for wireless access in vehicular environments

K Collins, GM Muntean - 2008 IEEE 68th Vehicular Technology …, 2008 - ieeexplore.ieee.org
Traffic congestion is a very serious problem which is becoming ever worse as the growth in
the number of cars on the road significantly out-paces the provision of road capacity. This …

Defect-repairable latent feature extraction of driving behavior via a deep sparse autoencoder

H Liu, T Taniguchi, K Takenaka, T Bando - Sensors, 2018 - mdpi.com
Data representing driving behavior, as measured by various sensors installed in a vehicle,
are collected as multi-dimensional sensor time-series data. These data often include …

Harnessing mobility data in cities: A case study from the Bergen region

D Ahlers, RA Akerkar, J Krogstie, AL Opdahl, B Tessem… - 2018 - ntnuopen.ntnu.no
Smart cities attempt to use big data, machine learning, and other topical information and
communication techniques (ICTs) to improve energy-consumption, mobility, waste …

Emerging Technologies in Transportation Systems: Challenges and Opportunities

A Guerrero-Ibáñez, C Flores-Cortés… - International Journal of …, 2012 - igi-global.com
Emerging technologies have been used as a complementary tool to solve different problems
that modern society faces every day. One area where the emerging technologies have a big …

Challenges of Emerging Technologies in Transportation Systems

A Guerrero-Ibáñez, P Damián-Reyes - Emerging Technologies in …, 2011 - igi-global.com
Nowadays, the number of vehicles and the need for transportation is growing quickly. There
are more vehicles on the roads driving more kilometers. The road networks in major cities …

A Feasible Modular Mesh Networking Platform for Vehicular Ad Hoc Networks

DJ Claypool, KM McNeill, TJ McNevin… - … on Parallel and …, 2008 - ieeexplore.ieee.org
As more wireless communications protocols become widely available, more affordable, and
more capable, there exists an opportunity to combine standardized products with advanced …