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Eco-Friendly Route Planning Algorithms: Taxonomies, Literature Review and Future Directions
Eco-friendly navigation (aka eco-routing) finds a route from A to B in a road network that
minimizes the greenhouse gas (GHG) emission or fuel/energy consumption of the traveling …
minimizes the greenhouse gas (GHG) emission or fuel/energy consumption of the traveling …
Autonomous vehicles opportunities for cities air quality
The impacts of autonomous vehicles (AV) on safety, energy and atmospheric emissions
have been recognised to be important issues, but an air quality impact assessment is …
have been recognised to be important issues, but an air quality impact assessment is …
Integrating road traffic externalities through a sustainability indicator
Road traffic poses negative externalities on society and represents a key challenge in
sustainable transportation. However, the existing literature about the assessment of traffic …
sustainable transportation. However, the existing literature about the assessment of traffic …
Unified network tRaffic management frAmework for fully conNected and electric vehicles energy cOnsumption optimization (URANO)
Cooperative control in the presence of connected and automated vehicles has attracted
substantial attention due to its pronounced benefits on the network compared with human …
substantial attention due to its pronounced benefits on the network compared with human …
[HTML][HTML] Fuel-optimal truck path and speed profile in dynamic conditions: An exact algorithm
We consider optimizing a truck's choice of path and speed profile to minimise fuel
consumption, exploiting real-time predictive information on dynamically varying traffic …
consumption, exploiting real-time predictive information on dynamically varying traffic …
[HTML][HTML] Spatial system perspective of understanding “fuel-sensitive routes” using regional-scale case studies
Eco-routing is widely researched as a promising way to reduce traffic-related environmental
externalities. Past studies indicate that fuel-sensitive eco-routing trades the fastest routes …
externalities. Past studies indicate that fuel-sensitive eco-routing trades the fastest routes …
Potential pollutant emission effects of connected and automated vehicles in a mixed traffic flow context for different road types
The environmental impact of connected and autonomous vehicles (CAVs) is still uncertain.
Little is known about how CAVs operational behavior influences the environmental …
Little is known about how CAVs operational behavior influences the environmental …
Assessing the importance of transportation activity data for urban emission inventories
The aim of this research is the implementation of a GPS-based modelling approach for
improving the characterization of vehicle speed spatial variation within urban areas, and a …
improving the characterization of vehicle speed spatial variation within urban areas, and a …
Quantifying road traffic emissions embedded in a multi-objective traffic assignment model
In a road network, drivers typically seek to minimize their own travel time, often affecting
system-wide performance. With the increasing environmental awareness, for an efficient …
system-wide performance. With the increasing environmental awareness, for an efficient …
Hybrid electric vehicle data-driven insights on hot-stabilized exhaust emissions and driving volatility
Despite the fuel use and emission benefits of hybrid electric vehicles (HEVs), few studies
have characterized in detail emission patterns and driving volatility profiles from HEVs in …
have characterized in detail emission patterns and driving volatility profiles from HEVs in …