Green vehicle routing problem: A state-of-the-art review
As energy overuse and generated pollution have a potential threat to our environmental and
ecological conditions, many researchers have taken the initiative way to join the green …
ecological conditions, many researchers have taken the initiative way to join the green …
[HTML][HTML] Vehicle telematics for safer, cleaner and more sustainable urban transport: A review
O Ghaffarpasand, M Burke, LK Osei, H Ursell… - Sustainability, 2022 - mdpi.com
Urban transport contributes more than a quarter of the global greenhouse gas emissionns
that drive climate change; it also produces significant air pollution emissions. Furthermore …
that drive climate change; it also produces significant air pollution emissions. Furthermore …
Eco-driving-based cooperative adaptive cruise control of connected vehicles platoon at signalized intersections
Vehicle driving patterns greatly impact the sustainability of the transportation system. Based
on V2X communication, the ecological cooperative adaptive cruise control (Eco-CACC) is …
on V2X communication, the ecological cooperative adaptive cruise control (Eco-CACC) is …
Low-carbon routing for cold-chain logistics considering the time-dependent effects of traffic congestion
X Guo, W Zhang, B Liu - Transportation Research Part D: Transport and …, 2022 - Elsevier
To meet the demands of green logistics while considering the time-dependent effects
caused by traffic congestion, we establish a time-dependent green vehicle routing problem …
caused by traffic congestion, we establish a time-dependent green vehicle routing problem …
A multi-objective and multi-level model for location-routing problem in the supply chain based on the customer's time window
Today, logistics costs often make up a major part of large organizations' expenses. These
costs can be reduced with optimal design and its implementation in the supply chain. As a …
costs can be reduced with optimal design and its implementation in the supply chain. As a …
A novel model and algorithm for designing an eco-oriented demand responsive transit (DRT) system
Since the flexibility and adaptability of demand responsive transit (DRT) give more potentials
and spaces of embracing eco-routing strategy, this study develops a novel framework of …
and spaces of embracing eco-routing strategy, this study develops a novel framework of …
A data-driven framework for incentivising fuel-efficient driving behaviour in heavy-duty vehicles
Fuel economy in freight transport is key in attaining economic and environmental efficiency
and sustainability. Fuel consumption in Heavy-Duty Vehicle (HDV) is dependent on a set of …
and sustainability. Fuel consumption in Heavy-Duty Vehicle (HDV) is dependent on a set of …
Coupling the driving forces of urban CO2 emission in Shanghai with logarithmic mean Divisia index method and Granger causality inference
This paper investigates the potential indicators influencing CO 2 emission in Shanghai
during 1995–2017 by a combined method of logarithmic mean Divisia index method (LMDI) …
during 1995–2017 by a combined method of logarithmic mean Divisia index method (LMDI) …
[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 …
A fuel-efficient reliable path finding algorithm in stochastic networks under spatial correlation
W Teng, Y Zhang, XY Chen, X Duan, Q Wan, Y Yu - Fuel, 2023 - Elsevier
Transport activities are regarded as a major source of fuel consumption and CO 2 emission
production. To reduce the negative impact of traffic-related CO 2 emission, this paper …
production. To reduce the negative impact of traffic-related CO 2 emission, this paper …