Transport modelling in the age of big data
ABSTRACT New Big Data sources such as mobile phone call data records, smart card data
and geo-coded social media records allow to observe and understand mobility behaviour on …
and geo-coded social media records allow to observe and understand mobility behaviour on …
[PDF][PDF] Simmobility mid-term simulator: A state of the art integrated agent based demand and supply model
Y Lu, M Adnan, K Basak, FC Pereira… - 94th Annual Meeting …, 2015 - researchgate.net
Abstract 1 Agent based models have gained wide acceptability in transport planning,
however, the 2 modelling frameworks have been facing a practical dilemma: demand and …
however, the 2 modelling frameworks have been facing a practical dilemma: demand and …
Congestion pricing in a world of self-driving vehicles: An analysis of different strategies in alternative future scenarios
The introduction of autonomous (self-driving) and shared autonomous vehicles (AVs and
SAVs) will affect travel destinations and distances, mode choice, and congestion. From a …
SAVs) will affect travel destinations and distances, mode choice, and congestion. From a …
[HTML][HTML] The impact of plug-in behavior on the spatial–temporal flexibility of electric vehicle charging load
While electric vehicles (EVs) are expected to support decarbonizing transport, EVs can
challenge the electricity system. Investigating the EV charging load and its flexibility, eg, by …
challenge the electricity system. Investigating the EV charging load and its flexibility, eg, by …
Optimal bidding strategy of a plug-in electric vehicle aggregator in day-ahead electricity markets under uncertainty
MG Vayá, G Andersson - IEEE transactions on power systems, 2014 - ieeexplore.ieee.org
With a large-scale introduction of plug-in electric vehicles (PEVs), a new entity, the PEV fleet
aggregator, is expected to be responsible for managing the charging of, and for purchasing …
aggregator, is expected to be responsible for managing the charging of, and for purchasing …
Managing electric vehicles in the smart grid using artificial intelligence: A survey
ES Rigas, SD Ramchurn… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Along with the development of smart grids, the wide adoption of electric vehicles (EVs) is
seen as a catalyst to the reduction of CO 2 emissions and more intelligent transportation …
seen as a catalyst to the reduction of CO 2 emissions and more intelligent transportation …
Agent-based modeling
D Helbing - Social self-organization: Agent-based simulations and …, 2012 - Springer
Since the advent of computers, the natural and engineering sciences have enormously
progressed. Computer simulations allow one to understand interactions of physical particles …
progressed. Computer simulations allow one to understand interactions of physical particles …
Clustering daily patterns of human activities in the city
Data mining and statistical learning techniques are powerful analysis tools yet to be
incorporated in the domain of urban studies and transportation research. In this work, we …
incorporated in the domain of urban studies and transportation research. In this work, we …
Provision of load frequency control by PHEVs, controllable loads, and a cogeneration unit
This paper presents a method for tracking a secondary frequency control (Load Frequency
Control) signal by groups of plug-in hybrid electric vehicles (PHEVs), controllable thermal …
Control) signal by groups of plug-in hybrid electric vehicles (PHEVs), controllable thermal …
A Bayesian network approach for population synthesis
Agent-based micro-simulation models require a complete list of agents with detailed
demographic/socioeconomic information for the purpose of behavior modeling and …
demographic/socioeconomic information for the purpose of behavior modeling and …