A lateral control scheme of autonomous vehicles considering pavement sustainability

Carbon emissions are the primary reason that contributes to global warming. The gradient has a significant impact on the carbon dioxide (CO 2) emissions produced by trucks. The aim of the current paper is to propose a carbon emission quantification model for diesel trucks on longitudinal slope sections and investigate the influence of gradient on the carbon emissions of trucks for use in the low-carbon highway design. The law of conservation of mechanical energy, the first law of thermodynamics, and the vehicle longitudinal dynamics theory were adopted for deriving the carbon emission model of the trucks on the flat, uphill, downhill and round-trip longitudinal slope segments. Three kinds of common trucks were chosen to conduct the field test. Following the test data, the model demonstrates a high accuracy. The minimum gradient which is expected to impact carbon emissions of trucks on the round-trip longitudinal slope sections was the balance gradient as revealed. The gradient of the longitudinal slope is required to be avoided to be greater in comparison with the balance gradient for the achievement of the two-way traffic low carbon operation on a highway. The results of this study are valuable to researchers interested in low carbon road design and low carbon transportation control.

Section: Resultsmentioning

confidence: 99%

Section: Plos Onementioning

confidence: 99%

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Modelling carbon emissions of diesel trucks on longitudinal slope sections in China

Dong

2020

“…As shown in its official blog, Waymo, an autonomous driving technology development company originated from Google, has already started a commercial self-driving taxi service in Phoenix, Arizona in 2018 [ 3 ]. An optimistic prediction is that AVs will publicly available in the next decade, and thus traffic problems related to autonomous vehicles are also being extensively investigated [ 4 , 5 ]. Current intersection management (IM) strategies, such as the traditional phase-fixed traffic light and other more advanced adaptive methods, are designed exclusively for human drivers.…”

Section: Introductionmentioning

confidence: 99%

Intersection management for autonomous vehicles with vehicle-to-infrastructure communication

Liu

2020

This paper proposes an intersection management strategy for autonomous vehicles under the vehicle-to-infrastructure circumstance. All vehicles are supposed to be fully autonomous and can communicate with the intersection management unit to check the traffic situation. Priority of passing the intersection is decided by a static conflict matrix which represents the potential conflict between lanes of different directions and a dynamic information list which could capture the real-time occupation of each lane in the intersection. Compared with the existing approaches in the literature, the intersection management unit in our strategy is more like a database rather than a computational center, and therefore, requires less computational resource and more likely satisfies the real-time requirement in heavy traffic situations. Simulations are conducted using SUMO (Simulation of Urban MObility), in which the proposed strategy is compared with both fixed and adaptive traffic light methods. The results indicate that the proposed strategy could significantly reduce the average time delay caused by the intersection and the corresponding variance, which shows the efficiency and fairness of the proposed strategy in intersection management.

“…Domestic and foreign scholars have been conducting in-depth and extensive research on vehicle transportation problem. The research on vehicle route planning (VRP) [ 1 ], fuel consumption carbon emission calculation [ 2 , 3 ], control mode [ 4 , 5 ], safety performance analysis during driving [ 6 ], cold chain transportation etc. has become the research hotspot.…”

Section: Introductionmentioning

confidence: 99%

Optimization of transportation routing problem for fresh food in time-varying road network: Considering both food safety reliability and temperature control

Zhao

Zhou

2020

Study on fresh food safety reliability and temperature control has being a research focus in the fresh food cold distribution optimization study field. On this basis, optimization of transportation routing problem with time windows for fresh food in time-varying road network is studied by considering both economic cost and fresh food safety loss. A calculation method for path division strategy is designed. A food safety value loss measurement function, a metric function of energy and heat conversion a measure function of carbon emission rate are employed by considering time-varying vehicle speeds, fuel consumptions, cost of temperature control, the loss of food safety reliability and carbon emissions from transportation and temperature control. The fresh food cold chain distribution vehicle routing problem model with time windows in time-varying road network is formulated based on the objective of the distribution cost and food safety value loss minimization. According to the characteristics of the model, an adaptive improved ant colony algorithm is designed. Finally, the experimental data show that the model can effectively avoid the congestion period, reasonably control the refrigeration temperature, reduce the distribution cost, and improve food safety.