A systematic review of route optimisation and pre-emption methods for emergency vehicles
Reducing the travel time of emergency vehicles (EVs) is an effective way to improve critical
services such as ambulance, fire, and police. Route optimisation and pre-emption are …
services such as ambulance, fire, and police. Route optimisation and pre-emption are …
Analytics and machine learning in vehicle routing research
The Vehicle Routing Problem (VRP) is one of the most intensively studied combinatorial
optimisation problems for which numerous models and algorithms have been proposed. To …
optimisation problems for which numerous models and algorithms have been proposed. To …
EMVLight: A multi-agent reinforcement learning framework for an emergency vehicle decentralized routing and traffic signal control system
Emergency vehicles (EMVs) play a crucial role in responding to time-critical calls such as
medical emergencies and fire outbreaks in urban areas. Existing methods for EMV dispatch …
medical emergencies and fire outbreaks in urban areas. Existing methods for EMV dispatch …
Guiding cities to pursue a smart mobility paradigm: An example from vehicle routing guidance and its traffic and operational effects
S Melo, J Macedo, P Baptista - Research in transportation economics, 2017 - Elsevier
The concept of'smart cities' is rooted on the approach taken by cities to reconcile the three
often conflicting objectives of economic efficiency, environmental quality and social equity …
often conflicting objectives of economic efficiency, environmental quality and social equity …
EMVLight: A decentralized reinforcement learning framework for efficient passage of emergency vehicles
Emergency vehicles (EMVs) play a crucial role in responding to time-critical events such as
medical emergencies and fire outbreaks in an urban area. The less time EMVs spend …
medical emergencies and fire outbreaks in an urban area. The less time EMVs spend …
Adaptive multi-phase approach for solving the realistic vehicle routing problems in logistics with innovative comparison method for evaluation based on real GPS data
Transportation management, as a part of the supply chain management, is a complex
process that consists of planning and delivering goods to customers. The paper presents a …
process that consists of planning and delivering goods to customers. The paper presents a …
Every Second Counts: A Comprehensive Review of Route Optimization and Priority Control for Urban Emergency Vehicles
Z Hao, Y Wang, X Yang - Sustainability, 2024 - mdpi.com
Emergency vehicles (EMVs) play an important role in saving human lives and mitigating
property losses in urban traffic systems. Due to traffic congestion and improper priority …
property losses in urban traffic systems. Due to traffic congestion and improper priority …
Online flash delivery from multiple depots
We study routing for on-demand last-mile logistics with two crucial novel features: i) Multiple
depots, optimizing where to pick-up every order, ii) Allowing vehicles to perform depot …
depots, optimizing where to pick-up every order, ii) Allowing vehicles to perform depot …
Dynamic routing optimization with electric vehicles under stochastic battery depletion
This paper addresses a dynamic traveling salesman problem with electric vehicles under
stochastic battery depletion. In the problem, traffic density and battery consumption rate are …
stochastic battery depletion. In the problem, traffic density and battery consumption rate are …
Data collection system of iot based on the coordination of drones and unmanned surface vehicle
Z Wang, L Tian, L Lin, J Xie, W Wu… - Journal of advanced …, 2023 - Wiley Online Library
With the continuous renewal and rise of various flight equipment, this article designs a
method of water data collection, which is realized through the coordination of an unmanned …
method of water data collection, which is realized through the coordination of an unmanned …