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Emerging cybersecurity and privacy threats to electric vehicles and their impact on human and environmental sustainability
With the global energy crisis, increasing demand, and a national-level emphasis on electric
vehicles (EVs), numerous innovations are being witnessed throughout the EV industry. EVs …
vehicles (EVs), numerous innovations are being witnessed throughout the EV industry. EVs …
Autonomous behavioral decision for vehicular agents based on cyber-physical social intelligence
In future smart cities supported by cyber-physical social intelligence, autonomous behavioral
decision for vehicular agents is going to become a general demand. Despite much progress …
decision for vehicular agents is going to become a general demand. Despite much progress …
Trajectory and velocity planning method of emergency rescue vehicle based on segmented three-dimensional quartic Bezier curve
T Chen, Y Cai, L Chen, X Xu - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
In order to ensure the driving safety, comfort, stability and high mobility of emergency rescue
vehicle, and considering the actual characteristics of emergency rescue vehicles like large …
vehicle, and considering the actual characteristics of emergency rescue vehicles like large …
Disruption management for the electric vehicle routing problem in a geographically flexible network
The adoption of electric vehicles (EVs) in populated cities is increasing in response to
reducing the environmental impact of transportation; however, it also brings new problems to …
reducing the environmental impact of transportation; however, it also brings new problems to …
An online decision-making strategy for routing of electric vehicle fleets
As environmental awareness grow, many organizations seek to implement Electric Vehicle
(EV) fleets. Nonetheless, EVs' low driving ranges and high recharging times, and the limited …
(EV) fleets. Nonetheless, EVs' low driving ranges and high recharging times, and the limited …
SRNN-RSA: a new method to solving time-dependent shortest path problems based on structural recurrent neural network and ripple spreading algorithm
S Yu, Y Song - Complex & Intelligent Systems, 2024 - Springer
Influenced by external factors, the speed of vehicles in the traffic network is changing all the
time, which makes the traditional static shortest route unable to meet the real logistics …
time, which makes the traditional static shortest route unable to meet the real logistics …
Optimal electrical vehicle charging planning and routing using real-time trained energy prediction with physics-based powertrain model
Electric vehicles (EVs) are rising in popularity due to technological developments and the
nation's decarbonization efforts, which are enticing drivers to move away from gasoline …
nation's decarbonization efforts, which are enticing drivers to move away from gasoline …
Timing co-evolutionary path optimisation method for emergency vehicles considering the safe passage
J Wu, Y Lin, W Qi - Transportmetrica A: Transport Science, 2023 - Taylor & Francis
Emergency vehicles encounter traffic accidents at intersections of the network frequently,
which seriously threatens the lives of rescue teams and patients. To improve the driving …
which seriously threatens the lives of rescue teams and patients. To improve the driving …
An approach to finding the most optimal route in a dynamic graph
The article proposes an algorithm for determining the optimal ways for users to travel from
one place to another. Traffic jams occur in cities as a result of road repairs and car accidents …
one place to another. Traffic jams occur in cities as a result of road repairs and car accidents …
[HTML][HTML] Consumption Coupons, Consumption Probability and Inventory Optimization: An Improved Minimum-Cost Maximum-Flow Approach
S Wang, Y Chen - Sustainability, 2022 - mdpi.com
The issuance of consumption coupons during the epidemic period to stimulate the economy
must take full account of the level of probabilistic consumption and inventory optimization. In …
must take full account of the level of probabilistic consumption and inventory optimization. In …