Blue phase: Optimal network traffic control for legacy and autonomous vehicles

Rey, David; Levin, Michael W.

doi:10.1016/j.trb.2019.11.001

Cited by 59 publications

(19 citation statements)

References 39 publications

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“…Levin et al ( 23 ) gave an MP control with AIM and dynamic lane reversal capable controller with proof of stability and showed significant performance improvement compared with first-come-first-served control. Rey and Levin ( 24 ) developed a new traffic network control policy based on an MP algorithm for CAVs, and they also gave a proof of stability. Yen et al ( 25 ) compared the fairness and vulnerabilities against cyber-attacks of four different BP based controllers.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance Evaluation of Modified Cyclic Max-Pressure Controlled Intersections in Realistic Corridors

Barman

Levin

2022

Transportation Research Record

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Max-pressure (MP) signal timing is an actuated decentralized signal control policy. Rigorous mathematical studies have proven the stability properties and established the benefits of different MP policies. However, theoretical studies make assumptions about traffic properties that may not represent reality and whose effects are not explored much in the literature under realistic traffic conditions. This study focuses on examining how different variations of MP perform in realistic scenarios and on finding the most practical policy among those for implementation in real roads. Microsimulation models of seven intersections from two corridors, County Road (CR) 30 and CR 109 from Hennepin County, Minnesota were created. Real-life demand and current signal timing data provided by Hennepin County were used to make the simulations as close to reality as possible. In this paper, we compare the performance of current actuated-coordinated signal control with an acyclic MP and two variations of cyclic MP policies. We present the performance of different control policies as delay, throughput, worst lane delay, and number of phase changes. We also present how different parameters affect the performance of the MP policies. We found that better performance can be achieved with a cyclic MP policy by allowing phase skipping when no vehicles are waiting. Our findings also suggest that most of the claimed performance benefits can still be achieved in real-life traffic conditions even with the simplified assumptions made in the theoretical models. In most cases, MP control policies outperformed current signal control.

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Section: Literature Reviewmentioning

confidence: 99%

Performance Evaluation of Modified Cyclic Max-Pressure Controlled Intersections in Realistic Corridors

Barman

Levin

2022

Transportation Research Record

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“…In light of the work by [4] and [12], Taale et al [15] and Sun et al [6] tested both a time-slotted BP and a cyclic BP in their experiments, and interestingly, they found that the time-slotted BP works better than the cyclic BP in general. More recently, [16] proposed a BP that can accommodate both human-driven and autonomous vehicles.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

Backpressure control with estimated queue lengths for urban network traffic

Okoth²,

Jabari

2021

IET Intelligent Trans Sys

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Backpressure (BP) control was originally used for packet routing in communications networks. Since its first application to network traffic control, it has undergone different modifications to tailor it to traffic problems with promising results. Most of these BP variants are based on an assumption of perfect knowledge of traffic conditions throughout the network at all times, specifically the queue lengths (more accurately, the traffic volumes). However, it has been well established that accurate queue length information at signalized intersections is never available except in fully connected environments. Although connected vehicle technologies are developing quickly, a fully connected environment in the real world is still far. This paper tests the effectiveness of BP control when incomplete or imperfect knowledge about traffic conditions is available. BP control is combined with a speed/density field estimation module suitable for a partially connected environment. The proposed system is referred to as a BP with estimated queue lengths (BP-EQ). The robustness of BP-EQ is tested to varying levels of connected vehicle penetration, and BP-EQ is compared with the original BP (i.e. assuming accurate knowledge of traffic conditions), a real-world adaptive signal controller, and optimized fixed timing control using microscopic traffic simulation with field calibrated data. These results show that with a connected vehicle penetration rate as little as 10%, BP-EQ can outperform the adaptive controller and the fixed timing controller in terms of average delay, throughput, and maximum stopped queue lengths under high demand scenarios.

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“…As shown in Figure 1, the detection time of the first vehicle and the time interval between the first vehicle and the subsequent vehicle n are taken as the analysis parameters, and the recursive formula is obtained as shown in equation (1). e vehicle detection time, the time interval between vehicles, and the number of vehicles constitute the main influencing variables for analysing the accuracy of vehicle link travel time estimation:…”

Section: Basic Travel Time Functionmentioning

confidence: 99%

“…e travel time is always one kind of quantitative indicators to analyse traffic network performance based on link travel time or route travel time. Even in the near future with the emergence of autonomous vehicles in urban traffic networks and the mixed flow, travel time plays an important role on solving autonomous traffic control problem such as the blue phase design [1]. In addition, travel time is one of the crucial factors affecting drivers' behaviour when they lead or follow vehicle platoon in the mixed flow with autonomous vehicles and human driven vehicles, and some works on the dedicated lane management consider the vehicle time factors such as headway to improve lane capacity [2].…”

Section: Introductionmentioning

confidence: 99%

Analysis on Link Travel Time Estimation considering Time Headway Based on Urban Road RFID Data

et al. 2021

Journal of Advanced Transportation

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In this paper, the calculation method of the link travel time is firstly analysed in the continuous traffic flow by using the detection data collected when vehicles pass through urban links, and a theoretical derivation formula for estimating link travel time is proposed by considering the typical vehicle travel time and the time headway deviation upstream and downstream of the links as the main parameters. A typical vehicle analysis method based on link travel time similarity is proposed, and the theoretical formula is optimized, respectively. Then, an estimation formula based on maximum travel time similarity and an estimation formula based on maximum travel time confidence interval similarity are proposed, respectively. Finally, when analysing the fitting conditions, the collected data from urban roads in Nanjing are used to verify the proposed travel time estimation method based on the radio frequency identification devices. The results show that time headway deviation converges to zero when the hourly vehicle volume is more than 20 veh/h in the certain flow direction, and there are more positive and negative fluctuations when the hourly vehicle volume is less than 10 veh/h in the certain flow direction. The accuracy of the proposed improved method based on typical vehicle travel time estimation is significantly improved by considering the typical vehicle travel time, and typical vehicles on the road segment mainly exist at the tail of the traffic platoon in the corresponding period.

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Blue phase: Optimal network traffic control for legacy and autonomous vehicles

Cited by 59 publications

References 39 publications

Performance Evaluation of Modified Cyclic Max-Pressure Controlled Intersections in Realistic Corridors

Performance Evaluation of Modified Cyclic Max-Pressure Controlled Intersections in Realistic Corridors

Backpressure control with estimated queue lengths for urban network traffic

Analysis on Link Travel Time Estimation considering Time Headway Based on Urban Road RFID Data

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