[HTML][HTML] Smarter and more connected: Future intelligent transportation system

A Sumalee, HW Ho - Iatss Research, 2018 - Elsevier
Emerging technologies toward a connected vehicle-infrastructure-pedestrian environment
and big data have made it easier and cheaper to collect, store, analyze, use, and …

A review of travel time estimation and forecasting for advanced traveller information systems

U Mori, A Mendiburu, M Álvarez… - … A: Transport Science, 2015 - Taylor & Francis
Due to the increase in vehicle transit and congestion in road networks, providing information
about the state of the traffic to commuters has become a critical issue for Advanced Traveller …

Online incremental machine learning platform for big data-driven smart traffic management

D Nallaperuma, R Nawaratne… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The technological landscape of intelligent transport systems (ITS) has been radically
transformed by the emergence of the big data streams generated by the Internet of Things …

Joint prediction of next location and travel time from urban vehicle trajectories using long short-term memory neural networks

J Sun, J Kim - Transportation Research Part C: Emerging …, 2021 - Elsevier
This paper aims to incorporate travel time prediction in the next location prediction problem
to enable the prediction of the city-wide movement trajectory of an individual vehicle by …

[HTML][HTML] Dynamic cities: Location-based accessibility modelling as a function of time

O Järv, H Tenkanen, M Salonen, R Ahas, T Toivonen - Applied geography, 2018 - Elsevier
The concept of accessibility–the potential of opportunities for interaction–binds together the
key physical components of urban structure: people, transport and social activity locations …

Max-pressure traffic controller based on travel times: An experimental analysis

P Mercader, W Uwayid, J Haddad - Transportation Research Part C …, 2020 - Elsevier
The traffic control of an arbitrary network of signalized intersections is considered. This work
presents a new version of the recently proposed max-pressure controller, also known as …

Real-time traffic state estimation in urban corridors from heterogeneous data

A Nantes, D Ngoduy, A Bhaskar, M Miska… - … Research Part C …, 2016 - Elsevier
In recent years, rapid advances in information technology have led to various data collection
systems which are enriching the sources of empirical data for use in transport systems …

[HTML][HTML] Big data and understanding change in the context of planning transport systems

D Milne, D Watling - Journal of Transport Geography, 2019 - Elsevier
This paper considers the implications of so-called 'big data'for the analysis, modelling and
planning of transport systems. The primary conceptual focus is on the needs of the practical …

Multimodal traffic speed monitoring: A real-time system based on passive Wi-Fi and Bluetooth sensing technology

Z Pu, Z Cui, J Tang, S Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Traffic speed is one of the critical indicators reflecting traffic status of roadway networks. The
abnormality and sudden changes of traffic speed indicate the occurrence of traffic …

Efficacy of bluetooth-based data collection for road traffic analysis and visualization using big data analytics

AR Kulkarni, N Kumar, KR Rao - Big Data Mining and Analytics, 2023 - ieeexplore.ieee.org
Effective management of daily road traffic is a huge challenge for traffic personnel. Urban
traffic management has come a long way from manual control to artificial intelligence …