A review on sustainable urban vehicle routing
The challenges of simultaneous profit maximization and environmental or social externality
mitigation need to be urgently addressed by companies. Accordingly, attention to the …
mitigation need to be urgently addressed by companies. Accordingly, attention to the …
Efficient macroscopic urban traffic models for reducing congestion: A PDDL+ planning approach
The global growth in urbanisation increases the demand for services including road
transport infrastructure, presenting challenges in terms of mobility. In this scenario …
transport infrastructure, presenting challenges in terms of mobility. In this scenario …
Modeling and characterization of traffic flows in urban environments
Currently, one of the main challenges faced in large metropolitan areas is traffic congestion.
To address this problem, adequate traffic control could produce many benefits, including …
To address this problem, adequate traffic control could produce many benefits, including …
Sustainability opportunities and ethical challenges of AI-enabled connected autonomous vehicles routing in urban areas
The advent of Connected Autonomous Vehicles (CAVs) paves the way to a new era of urban
traffic control and management, driven by Artificial Intelligence (AI)-enabled strategies. This …
traffic control and management, driven by Artificial Intelligence (AI)-enabled strategies. This …
Quantifying the impacts of dynamic control in connected and automated vehicles on greenhouse gas emissions and urban NO2 concentrations
Communication between vehicles and road infrastructure can enable more efficient use of
the road network and hence reduce congestion in urban areas. This improvement can be …
the road network and hence reduce congestion in urban areas. This improvement can be …
Spatial structure and development patterns of urban traffic flow network in less developed areas: A sustainable development perspective
X Su, C Zheng, Y Yang, Y Yang, W Zhao, Y Yu - Sustainability, 2022 - mdpi.com
Sustainable development is a scientific development requirement for economic, social, and
ecological development and is particularly important for less developed areas to achieve …
ecological development and is particularly important for less developed areas to achieve …
A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows
In this paper, a Mixed-Shift Vehicle Routing Problem is proposed based on a real-life
container transportation problem. In a long planning horizon of multiple shifts, transport tasks …
container transportation problem. In a long planning horizon of multiple shifts, transport tasks …
In Defence of good old-fashioned artificial intelligence approaches in intelligent transportation systems
In recent years, Artificial Intelligence (AI) has been increasingly used in traffic management
and control, particularly in the smart city context. However, the vast majority of recent AI …
and control, particularly in the smart city context. However, the vast majority of recent AI …
A hybrid automated planning approach for urban real-time routing of connected vehicles
One of the pivotal challenges presented to urban road traffic controllers is the effective
utilisation of transport infrastructure, as a result of growing urbanisation, the finite network …
utilisation of transport infrastructure, as a result of growing urbanisation, the finite network …
Optimising Dynamic Traffic Distribution for Urban Networks with Answer Set Programming
Answer set programming (ASP) has demonstrated its potential as an effective tool for
concisely representing and reasoning about real-world problems. In this paper, we present …
concisely representing and reasoning about real-world problems. In this paper, we present …