Operational performance of a congested corridor with lanes dedicated to autonomous vehicle traffic

Laan, Zachary Vander; Sadabadi, Kaveh Farokhi

doi:10.1016/j.ijtst.2017.05.006

Cited by 40 publications

(17 citation statements)

References 11 publications

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“…e driving behavior for CAVs and human drivers are very different. To build car-following models for CAVs, earlier studies have applied Intelligent Driver Model (IDM) [21,30,31], Newell's car-following model [32,33], full velocity difference (FVD) model [34], MICroscopic Model for Simulation of Intelligent Cruise Control (MIXIC) [35], and so on. Research [36] reviewed these car-following models and pointed out that the Intelligent Driver Model is one of the most used models, and it is considered to be more suitable to simulate behaviors of CAVs in the real world since it is able to model turbulence, oscillation, and other traffic flow characteristics.…”

Section: Simulation-basedmentioning

confidence: 99%

Safety Evaluation for Connected and Autonomous Vehicles’ Exclusive Lanes considering Penetrate Ratios and Impact of Trucks Using Surrogate Safety Measures

Zhang

Cheng

et al. 2020

Journal of Advanced Transportation

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Plenty of studies on exclusive lanes for Connected and Autonomous Vehicle (CAV) have been conducted recently about traffic efficiency and safety. However, most of the previous research studies neglected comprehensive consideration of the safety impact on different market penetration rates (MPRs) of CAVs, traffic demands, and proportion of trucks in mixture CAVs with human’s driven vehicle environment. On this basis, this study is to (1) identify the safety impact on exclusive lanes for CAVs under different MPRs with different traffic demands and (2) investigate the safety impact of trucks for CAV exclusive lanes on mixture environment. Based on the Intelligent Driver Model (IDM), a CAV platooning control algorithm is proposed for modeling the driving behaviors of CAVs. A calibrated 7-kilometer freeway section microscopic simulation environment is built by VISSIM. Four surrogate safety measures, including both longitudinal and lateral safety risk indexes, are employed to evaluate the overall safety impacts of setting exclusive lanes. Main results indicate that (1) setting one exclusive lane is capable to improve overall safety environment in low demand, and two exclusive lanes are more suitable for high-demand scenario; (2) existence of trucks worsens overall longitudinal safety environment, and improper setting of exclusive lanes in high trucks, low MPR scenario has adverse effect on longitudinal safety; and (3) setting exclusive lanes have better longitudinal and lateral safety improvement in high-truck proportion scenarios. Setting one or two exclusive lanes led to [+42.4% to −52.90%] and [+45.7% to −55.2%] of longitudinal risks while [−1.8% to −87.1%] and [−2.1% to −85.3%] of lateral conflicts compared with the base scenario, respectively. Results of this study provide useful insight for the setting of exclusive lanes for CAVs in a mixture environment.

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Section: Simulation-basedmentioning

confidence: 99%

Safety Evaluation for Connected and Autonomous Vehicles’ Exclusive Lanes considering Penetrate Ratios and Impact of Trucks Using Surrogate Safety Measures

Zhang

Cheng

et al. 2020

Journal of Advanced Transportation

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“…It has been shown that for freeway corridors with dedicated lanes for CAVs, benefits can be obtained in terms of the overall corridor performance metrics with increasing penetration rates up to 50%. However, it deteriorates considerably after these values [32]. In fact, the effects on vehicle miles traveled from various CAV technologies are not clear.…”

Section: B Impacts Of Cavs On Network Efficiencymentioning

confidence: 99%

Potential Pollutant Emission Effects of Connected and Automated Vehicles in a Mixed Traffic Flow Context for Different Road Types

Bandeira¹,

Macedo

Fernandes

et al. 2021

IEEE Open J. Intell. Transp. Syst.

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The environmental impact of connected and autonomous vehicles (CAVs) is still uncertain. Little is known about how CAVs operational behavior influences the environmental performance of network traffic, including conventional vehicles (CVs). In this paper, a microscopic traffic and emission modeling platform was applied to simulate CAVs operation in Motorway, Rural, and Urban road sections of a medium-sized European city, assuming different configurations of the car-following model parameters associated with a pre-determined or cooperative adaptative behavior of the CAVs. The main contribution is to evaluate the impact of the CAVs operation on the distribution of accelerations, Vehicle Specific Power (VSP) modal distribution, carbon dioxide (CO2) and nitrogen oxides (NOx) emissions for different road types and Market Penetration Rates (MPR). Results suggest CAVs operational behavior can affect CVs environmental performance either positively or negatively, depending on the driving settings and road type. It was found network-wide CO2 varies between savings of 18% and an increase of 4%, depending on the road type and MPR. CAVs adjusted driving settings allowed minimization of system NOx up to 13-23% for MPR ranging between 10 and 90%. These findings may support policymakers and traffic planners in developing strategies to better accommodate CAVs in a sustainable way.

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“…e feasible region Ω in a multiclass transportation network with exclusive AV lanes is mathematically described by equations ( 9)- (13). Constraint ( 9) simply ensures the conservation of flow in the network.…”

Section: Multiclass User Equilibriummentioning

confidence: 99%

“…eir results indicate that optional use of dedicated lanes by AVs can improve link performance both in terms of congestion and travel time reliability while limiting AVs to dedicated lanes decreases the overall performance. Vander Laan and Sadabadi [13] used macroscopic traffic simulation to address effects of a dedicated AV lane on the performance of a congested corridor. ey applied it to a four-lane corridor with one AV lane.…”

Section: Introductionmentioning

confidence: 99%

Optimum Location of Autonomous Vehicle Lanes: A Model Considering Capacity Variation

Movaghar

Mesbah

Habibian

2020

Mathematical Problems in Engineering

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This paper proposes a model to find the optimal location of autonomous vehicle lanes in a transportation network consisting of both Autonomous Vehicles (AVs) and Human-Driven Vehicles (HDVs) while accounting for the roadway capacity variation. The main contribution of the model is considering a generalized definition of capacity as a function of AV proportion on a link and incorporating it into the network design problem. A bilevel optimization model is proposed with total travel time as the objective function to be minimized. At the upper-level problem, the optimal locations of AV lanes are determined, and at the lower level which is a multiclass equilibrium assignment, road users including both AVs and HDVs seek to minimize their individual travel times. It is shown that if capacity variation is ignored, the effect of AV lane deployment can be misleading. Since there will be a long transition period during which both AVs and HDVs will coexist in the network, this model can help the network managers to optimally reallocate the valuable road space and better understand the effects of AV lane deployment at the planning horizon as well as during the transition period. Employing this model as a planning tool presents how the proposed AV lane deployment plan could consider the AV market penetration growth during the transition period. Numerical analysis based on the Sioux Falls network is presented in two cases with and without variable capacity to illustrate the application of this model. At the 60% penetration rate of AVs, the improvement in total travel time was 3.85% with a fix capacity while this improvement was 9.88% with a variable capacity.

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Operational performance of a congested corridor with lanes dedicated to autonomous vehicle traffic

Cited by 40 publications

References 11 publications

Safety Evaluation for Connected and Autonomous Vehicles’ Exclusive Lanes considering Penetrate Ratios and Impact of Trucks Using Surrogate Safety Measures

Safety Evaluation for Connected and Autonomous Vehicles’ Exclusive Lanes considering Penetrate Ratios and Impact of Trucks Using Surrogate Safety Measures

Potential Pollutant Emission Effects of Connected and Automated Vehicles in a Mixed Traffic Flow Context for Different Road Types

Optimum Location of Autonomous Vehicle Lanes: A Model Considering Capacity Variation

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