Field measurement analysis to validate lane-changing behavior in a cellular automaton model.

Phys Rev E

Department of Electrical Engineering and Liquid Crystal Institute, Tokyo University of Science, Yamaguchi, 1-1-1 Daigaku-Dori, San-Yo-Onoda, Yamaguchi 756-0884, Japan.

Published: November 2016

In the present study, we analyzed field measurement data obtained for a Japanese expressway and used it as a data set for the validation of microscopic simulation models. Consequently, in accordance with previous studies, we confirmed the common features depicted by the fundamental diagram (flux vs density relation) and lane-usage ratio vs density diagram. We found two things regarding lane-changing behavior: (1) a lane change occurs asymmetrically, where a lane change from a slow to a fast lane differs from that from a fast to a slow lane; and (2) the so-called incentive criterion in the case of small gaps between the preceding vehicles in both slow and fast lanes refers to the velocities and /or the relative velocities with respect to the preceding vehicles, whereas that for relatively large gaps refers to the distances to the preceding vehicles is cast into the above incentive criterion in addition to the two factors mentioned above.

Download full-text PDF

Source
http://dx.doi.org/10.1103/PhysRevE.94.052209DOI Listing

Publication Analysis

Top Keywords

preceding vehicles
12
field measurement
8
lane-changing behavior
8
lane change
8
slow fast
8
incentive criterion
8
measurement analysis
4
analysis validate
4
validate lane-changing
4
behavior cellular
4

Similar Publications

Extracellular vesicles (EVs) are lipid bilayer particles released by virtually all cells, with prominent roles in both physiological and pathological processes. The size, number, and molecular composition of released EVs correlate to the cells of origin, modulated by the cell's environment and pathologic state. The proteins, DNA, RNA, and protein cargo carried by EVs are protected by degradation, with a prominent role in targeted intercellular signaling.

View Article and Find Full Text PDF

Mixed platoon with a human-driven leading vehicle may be a transition mode prior to the widespread adoption of fully autonomous platoon. Enhancing the driving safety of the leading vehicle driver is crucial for improving the overall operational safety of the mixed platoon. Predictive-Forward-Collision-Warning (PFCW), an emerging technology in transportation, holds promise in mitigating collision risks for drivers by presenting traffic information beyond their immediate visual range.

View Article and Find Full Text PDF
Article Synopsis
  • - Exposure to standard petrodiesel exhaust has been linked to negative health effects, leading to an interest in renewable fuels like rapeseed methyl ester (RME) biodiesel, but recent studies suggest biodiesel exhaust may also pose health risks
  • - A study involving 14 healthy subjects tested the effects of breathing in 100% RME biodiesel exhaust compared to filtered air, with results revealing significant inflammation and increased levels of immune cells in the airways after exposure
  • - The findings indicate that biodiesel exhaust can cause acute airway inflammation similar to that caused by petrodiesel, raising concerns about its potential toxicity and impact on human health.
View Article and Find Full Text PDF

The epigenome is a target for environmental exposures and a potential determinant of inter-individual differences in response. In genetically identical C57Bl/6 mice exposed from gestation to weaning to the endocrine-disrupting chemical (EDC) tributyltin (TBT), hepatic tumor development later in life varied across multiple cohorts over time and depending on sex and diet. In one cohort where approximately half of TBT-exposed male mice developed liver tumors at 10 months (Katz et al.

View Article and Find Full Text PDF

Effect of adaptive cruise control on fuel consumption in real-world driving conditions.

Nat Commun

November 2024

Vehicle and Mobility Simulation department at Argonne National Laboratory, 9700 S Cass Ave, Lemont, IL, 60439, USA.

This paper presents a comprehensive analysis of the impact of adaptive cruise control on energy consumption in real-world driving conditions based on a natural experiment: a large-scale observational dataset of driving data from a diverse fleet of vehicles and drivers. The analysis is conducted at two different fidelity levels: (1) a macroscopic trip-level benefit estimate that compares trips with and without cruise control in a counterfactual way using statistical methods, and (2) a situation-based comparison achieved through the segmentation of trips into distinct driving situations such as acceleration, braking, cruising, and other maneuvers. The results of this research show that the effect of cruise control on energy consumption varies across different driving situations and levels of analysis.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!