326 citations · 1.2k across the 59 of their papers we have counts for
17 papers · 1 filter
ResLogit: A residual neural network logit model for data-driven choice modelling
Melvin Wong, Bilal Farooq
This paper presents a novel deep learning-based travel behaviour choice model.Our proposed Residual Logit (ResLogit) model formulation seamlessly integrates a Deep Neural Network (…
A blockchain-based user-centric emission monitoring and trading system for multi-modal mobility
Johannes Eckert, David López, Carlos Lima Azevedo +1
Since the transport sector accounts for one of the highest shares of greenhouse gases (GHG) emissions, several existing proposals state the idea to control the by the transportatio…
Privacy-Aware Distributed Mobility Choice Modelling over Blockchain
David Lopez, Bilal Farooq
A generalized distributed tool for mobility choice modelling is presented, where participants do not share personal raw data, while all computations are done locally. Participants…
Information processing constraints in travel behaviour modelling: A generative learning approach
Melvin Wong, Bilal Farooq
Travel decisions tend to exhibit sensitivity to uncertainty and information processing constraints. These behavioural conditions can be characterized by a generative learning proce…
A multi-layered blockchain framework for smart mobility data-markets
David Lopez, Bilal Farooq
Blockchain has the potential to render the transaction of information more secure and transparent. Nowadays, transportation data are shared across multiple entities using heterogen…
Multi-Level Taxonomy and Critical Review of Eco-Routing Methods
Lama Alfaseeh, Bilal Farooq
Routing decisions are initially based on minimizing travel time. Nevertheless, eco-routing considers the environmental aspect (e.g. emissions, fuel, and exposure) and was introduce…