A critical review of real-time map-matching algorithms: Current issues and future directions
Current navigation systems/services allow drivers to keep track of their precise whereabouts
and provide optimal routes to reach specified locations. A reliable map-matching algorithm …
and provide optimal routes to reach specified locations. A reliable map-matching algorithm …
Smartphones as an integrated platform for monitoring driver behaviour: The role of sensor fusion and connectivity
S Kanarachos, SRG Christopoulos… - … research part C: emerging …, 2018 - Elsevier
Nowadays, more than half of the world's web traffic comes from mobile phones, and by 2020
approximately 70 percent of the world's population will be using smartphones. The …
approximately 70 percent of the world's population will be using smartphones. The …
Travel time estimation for urban road networks using low frequency probe vehicle data
E Jenelius, HN Koutsopoulos - Transportation Research Part B …, 2013 - Elsevier
The paper presents a statistical model for urban road network travel time estimation using
vehicle trajectories obtained from low frequency GPS probes as observations, where the …
vehicle trajectories obtained from low frequency GPS probes as observations, where the …
Fast map matching, an algorithm integrating hidden Markov model with precomputation
C Yang, G Gidofalvi - International Journal of Geographical …, 2018 - Taylor & Francis
Wide deployment of global positioning system (GPS) sensors has generated a large amount
of data with numerous applications in transportation research. Due to the observation error …
of data with numerous applications in transportation research. Due to the observation error …
Non-parametric estimation of route travel time distributions from low-frequency floating car data
The paper develops a non-parametric method for route travel time distribution estimation
using low-frequency floating car data (FCD). While most previous work has focused on link …
using low-frequency floating car data (FCD). While most previous work has focused on link …
Map-matching algorithm for large-scale low-frequency floating car data
Large-scale global positioning system (GPS) positioning information of floating cars has
been recognised as a major data source for many transportation applications. Mapping …
been recognised as a major data source for many transportation applications. Mapping …
Online map-matching of noisy and sparse location data with hidden Markov and route choice models
GR Jagadeesh, T Srikanthan - IEEE Transactions on Intelligent …, 2017 - ieeexplore.ieee.org
With the growing use of crowdsourced location data from smartphones for transportation
applications, the task of map-matching raw location sequence data to travel paths in the …
applications, the task of map-matching raw location sequence data to travel paths in the …
Prediction of vehicle CO2 emission and its application to eco-routing navigation
Transportation sector accounts for a large proportion of global greenhouse gas and toxic
pollutant emissions. Even though alternative fuel vehicles such as all-electric vehicles will …
pollutant emissions. Even though alternative fuel vehicles such as all-electric vehicles will …
[HTML][HTML] Big trajectory data mining: A survey of methods, applications, and services
The increasingly wide usage of smart infrastructure and location-aware terminals has
helped increase the availability of trajectory data with rich spatiotemporal information. The …
helped increase the availability of trajectory data with rich spatiotemporal information. The …
Path inference from sparse floating car data for urban networks
M Rahmani, HN Koutsopoulos - Transportation Research Part C: Emerging …, 2013 - Elsevier
The use of probe vehicles in traffic management is growing rapidly. The reason is that the
required data collection infrastructure is increasingly in place in urban areas with a …
required data collection infrastructure is increasingly in place in urban areas with a …