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Multilane Microscopic Modeling to Measure Mobility and Safety Consequences of Mixed Traffic in Freeway Weaving Sections

TLDR
Bidirectional (i.e., longitudinal and lateral) motion dynamics in a microscopic modeling framework is experimented with to measure the mobility and safety implications for mixed traffic movement in a freeway weaving section to report expected Mobility and safety outcomes from the prevailing traffic state and the optimal AuV share for the current inflow rate in weaving sections.
Abstract
Weaving sections are components of highway networks that introduce a heightened likelihood for bottlenecks and collisions. Automated vehicle technology could address this as it holds considerable promise for transportation mobility and safety improvements. However, the implications of combining automated vehicles (AuVs) with traditional human-driven vehicles (HuVs) in weaving freeway sections have not been quantitatively measured. To address this gap, this paper objectively experimented with bidirectional (i.e., longitudinal and lateral) motion dynamics in a microscopic modeling framework to measure the mobility and safety implications for mixed traffic movement in a freeway weaving section. Our research begins by establishing a multilane microscopic model for studied vehicle types (i.e., AuV and HuV) from model predictive control with the provision to form a CACC platoon of AuV vehicles. The proposed modeling framework was tested first with HuV only on a two-lane weaving section and validated using standardized macroscopic parameters from the Highway Capacity Manual. This model was then applied to incrementally expand the AuV share for varying inflow rates of traffic. Simulation results showed that the maximum flow rate through the weaving section was attained at a 65% AuV share. At the same time, steadiness in the average speed of traffic was experienced with increasing AuV share. The results also revealed that a 95% AuV share could reduce potential conflicts by 94.28%. Finally, the results of simulated scenarios were consolidated and scaled to report expected mobility and safety outcomes from the prevailing traffic state and the optimal AuV share for the current inflow rate in weaving sections.

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Posted Content

Optimal Control for Speed Harmonization of Automated Vehicles.

TL;DR: In this paper, the authors address the problem of controlling the speed of a number of automated vehicles before they enter a speed reduction zone on a freeway and provide an analytical, closed-form solution that can be implemented in real time.

Empirical Analysis of Lane Changing Behaviour at a Freeway Weaving Section

TL;DR: In this article, an empirical analysis on lane changing behavior using a trajectory data set collected at a weaving section in Grenoble (France) is presented, showing that weaving vehicles tend to change lane as soon as possible after the start of the weaving section.

Distribution and impacts of lane changes at a freeway weaving section: An empirical study

TL;DR: In this article, the authors present an empirical analysis of a freeway weaving section (535m) in Switzerland, where flow and speed data were collected at the merge and diverge of the weaving section.
References
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Congested traffic states in empirical observations and microscopic simulations

TL;DR: It is shown that the results of the microscopic model can be understood by formulating the theoretical phase diagram for bottlenecks in a more general way, and a local drop of the road capacity induced by parameter variations has essentially the same effect as an on-ramp.
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Engineering Design via Surrogate Modelling: A Practical Guide

TL;DR: This chapter discusses the design and exploration of a Surrogate-based kriging model, and some of the techniques used in that process, as well as some new approaches to designing models based on the data presented.
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Surrogate-based Analysis and Optimization

TL;DR: The multi-objective optimal design of a liquid rocket injector is presented to highlight the state of the art and to help guide future efforts.
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Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations

TL;DR: In this article, the authors proposed a nationally recognized licensing framework for AVs, determining appropriate standards for liability, security, and data privacy, which can be used to improve vehicle safety, congestion, and travel behavior.
MonographDOI

Engineering Design via Surrogate Modelling

TL;DR: In this article, the authors propose a sampling approach to estimate the distribution of elementary effects and then use this information to construct a kriging model of the data set, which is then used for regression.
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