Transport modelling in the age of big data

C Anda, A Erath, PJ Fourie - International Journal of Urban …, 2017 - Taylor & Francis
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 …

[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 …

Congestion pricing in a world of self-driving vehicles: An analysis of different strategies in alternative future scenarios

MD Simoni, KM Kockelman, KM Gurumurthy… - … Research Part C …, 2019 - Elsevier
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 …

[HTML][HTML] The impact of plug-in behavior on the spatial–temporal flexibility of electric vehicle charging load

C Gschwendtner, C Knoeri, A Stephan - Sustainable Cities and Society, 2023 - Elsevier
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 …

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 …

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 …

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 …

Clustering daily patterns of human activities in the city

S Jiang, J Ferreira, MC González - Data Mining and Knowledge Discovery, 2012 - Springer
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 …

Provision of load frequency control by PHEVs, controllable loads, and a cogeneration unit

MD Galus, S Koch, G Andersson - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
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 …

A Bayesian network approach for population synthesis

L Sun, A Erath - Transportation Research Part C: Emerging …, 2015 - Elsevier
Agent-based micro-simulation models require a complete list of agents with detailed
demographic/socioeconomic information for the purpose of behavior modeling and …