A survey on demand-responsive public bus systems
When demand for transportation is low or highly variable, traditional public bus services tend
to lose their efficiency and typically frustrate (potential) passengers. In the literature, a large …
to lose their efficiency and typically frustrate (potential) passengers. In the literature, a large …
Air taxi service for urban mobility: A critical review of recent developments, future challenges, and opportunities
Expected to operate in the imminent future, air taxi service (ATS) is an aerial on-demand
transport for a single passenger or a small group of riders, which seeks to transform the …
transport for a single passenger or a small group of riders, which seeks to transform the …
Public transport for smart cities: Recent innovations and future challenges
The idea of a smart city is one that utilises Internet-of-Things (IoT) technologies and data
analytics to optimise the efficiency of city operations and services, so as to provide a high …
analytics to optimise the efficiency of city operations and services, so as to provide a high …
A survey of models and algorithms for optimizing shared mobility
The rise of research into shared mobility systems reflects emerging challenges, such as
rising traffic congestion, rising oil prices and rising environmental concern. The operations …
rising traffic congestion, rising oil prices and rising environmental concern. The operations …
[HTML][HTML] On the inefficiency of ride-sourcing services towards urban congestion
The advent of shared-economy and smartphones made on-demand transportation services
possible, which created additional opportunities, but also more complexity to urban mobility …
possible, which created additional opportunities, but also more complexity to urban mobility …
[HTML][HTML] A review of public transport economics
Public transport provision requires substantial organisational efforts, careful planning,
financial contributions from the public, and coordination between millions of passengers and …
financial contributions from the public, and coordination between millions of passengers and …
Real-time city-scale ridesharing via linear assignment problems
In this paper, we propose a novel, computational efficient, dynamic ridesharing algorithm.
The beneficial computational properties of the algorithm arise from casting the ridesharing …
The beneficial computational properties of the algorithm arise from casting the ridesharing …
A two-phase optimization model for the demand-responsive customized bus network design
This paper proposes a new optimization model for the network design problem of the
demand-responsive customized bus (CB). The proposed model consists of two phases …
demand-responsive customized bus (CB). The proposed model consists of two phases …
A review on the electric vehicle routing problems: Variants and algorithms
Over the past decade, electric vehicles (EVs) have been considered in a growing number of
models and methods for vehicle routing problems (VRPs). This study presents a …
models and methods for vehicle routing problems (VRPs). This study presents a …
Deeppool: Distributed model-free algorithm for ride-sharing using deep reinforcement learning
The success of modern ride-sharing platforms crucially depends on the profit of the ride-
sharing fleet operating companies, and how efficiently the resources are managed. Further …
sharing fleet operating companies, and how efficiently the resources are managed. Further …