Modelling Delay at Signalized Intersections under Heterogeneous Traffic Conditions

Preethi, P.; Varghese, Aby Dany; Ashalatha, R.

doi:10.1016/j.trpro.2016.11.107

Cited by 17 publications

(6 citation statements)

References 5 publications

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“…Several existing studies have considered only Δ𝑡 𝜔 𝐴 to calculate vehicle delay at an intersection. However, Preethi et al (2016) indicate that Δ𝑡 𝜔 𝐴 accounts for just 85% of the total delay. A low passing speed 𝑣 𝜔 𝑐 at the stop bar (e.g., vehicle 𝜔 1 in Figure 2) could increase the travel time Δ𝑡 𝜔 𝐵 in the conflict zone, compared with a high passing speed (e.g., vehicle 𝜔 3 in Figure 2).…”

Section: Vehicle Motion Analysismentioning

confidence: 99%

Signal timing at an isolated intersection under mixed traffic environment with self‐organizing connected and automated vehicles

Zhang

et al. 2022

Computer aided Civil Eng

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This study provides a signal timing model for isolated intersections under the mixed traffic environment consisting of connected and human‐driven vehicles (CHVs) and connected and automated vehicles (CAVs). Different from existing studies, CAVs are not controlled by traffic controllers and conduct trajectory planning themselves, which are called self‐organizing CAVs (SOCAVs). The specific trajectory planning strategies of SOCAVs are not accessible to traffic controllers either. The signal optimization problem is formulated as a mixed integer linear programming (MILP) model for total vehicle delay minimization. The states of SOCAVs and CHVs passing the stop bar are predicted without prior information of the trajectory planning strategies of SOCAVs. SOCAVs can lead approaching platoons to pass the intersection effectively, and such “leading effects” of SOCAVs are utilized. Phase sequence and duration are optimized with the “structure‐free” phasing scheme. A parallel particle swarm optimization algorithm with a grouping strategy is designed to solve the optimization model at a reduced scale for computational efficiency. Numerical studies validate that (1) the proposed algorithm significantly outperforms the benchmark method, which directly solves the proposed MILP model using the solver Gurobi 9.0, under medium and high traffic demand; and (2) the proposed model significantly outperforms fixed‐time and vehicle‐actuated signal control in terms of vehicle delay and throughput. Sensitivity analysis shows that the SOCAV penetration rate of 30% is sufficient to guarantee satisfactory performance of the proposed signal timing model.

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Section: Vehicle Motion Analysismentioning

confidence: 99%

Signal timing at an isolated intersection under mixed traffic environment with self‐organizing connected and automated vehicles

Zhang

et al. 2022

Computer aided Civil Eng

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“…e third term in Webster's delay model was modified using the saturation flow distribution, which was shown to be normally distributed. Preethi et al [77] proposed a semiempirical adjustment term to Webster's model, based on field observations using Artificial Neural Network (ANN). GPS data was used for traffic stream parameters, and delay components were estimated with different field adjustment factors for different conditions.…”

Section: Delay Estimation Models For Hlld Traffic Conditionsmentioning

confidence: 99%

Development of a Theoretical Delay Model for Heterogeneous and Less Lane-Disciplined Traffic Conditions

Khadhir

Bhaskar

Vanajakshi

et al. 2022

Journal of Advanced Transportation

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In developing countries with limited or no availability of traffic sensors, theoretical delay models are the most commonly used tool to estimate control delay at intersections. The traffic conditions in such countries are characterised by a large mix of vehicle types and limited or no lane discipline (Heterogeneous, Less Lane-Disciplined (HLLD) traffic conditions), resulting in significantly different traffic dynamics. This research develops a queueing theory-based theoretical delay model that explicitly incorporates HLLD traffic conditions’ characteristic features like lack of lane discipline, violation of the First-In-First-Out rule, and a large mix of vehicle types. A new saturation flow-based Passenger Car Equivalent (PCE) estimation methodology to address heterogeneity and a virtual lane estimation approach to address lack of lane-discipline are proposed. The developed model shows 64% lesser error in average control delay estimation compared to the in-practice delay estimation models under HLLD traffic conditions. The developed model is used for signal optimisation under HLLD traffic conditions and reductions of up to 24% in control delay in comparison to the in-practice signal timing approach are observed. The study also highlights the significance of knowing the variation of delay in addition to average delay and presents a simple approach to capture the variation in delay.

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“…Alongside infrastructure measures, special traffic control measures, such as bicycle traffic signal coordination and bicycle traffic prioritization, are often proposed and introduced in conjunction with other measures in order to improve bicycle traffic efficiency, safety, and the overall attractiveness of cycling [27][28][29][30][31][32][33][34]. Such traffic control measures for bicycle traffic have the potential to improve the bicycle traffic flow quality at bicycle highways.…”

Section: Bicycle Traffic Controlmentioning

confidence: 99%

Traffic Simulation Analysis of Bicycle Highways in Urban Areas

et al. 2021

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The ongoing increase of bicycle traffic in urban areas forces transport authorities to reconsider the space allocation for different transport modes. Transport policies favor the introduction of high-quality bicycle infrastructure along urban corridors to improve the traffic quality and safety for bicyclists but more importantly to increase the attractiveness of bicycling and over vehicular modes. Especially in urban areas with an already established high and steadily increasing share of bicyclists, the introduction of bicycle highways is considered to further alleviate saturated interurban public transport and motor vehicle connections and increase the average traveled distance by non-motorized modes. Due to the expensive implementation costs and the space restrictions in already built-up urban environments, there should be an extensive planning phase for defining the expected changes in traffic efficiency and safety. However, the effects of urban bicycle highways on traffic performance metrics of bicyclists as well as other road users are not thoroughly studied. This paper aims to quantify and assess the potential effects of urban bicycle highway on road users. The study considers a possible inner-city pilot route in the city of Munich, where the present bicycle infrastructure is planned to be upgraded to a bicycle highway. A simulation model is designed using traffic data from field observations and future estimates for the traffic composition. Through microscopic traffic simulation, the potential effects of the introduced infrastructure on road users are determined for different study scenarios. Results show that traffic quality thresholds for bicycle highways, as defined in official guidelines, can only be fulfilled through the implementation of special bicycle traffic control measures such as bicycle coordination or bicycle passage time extension. Finally, unidirectional bicycle highways together with bicycle passage time extension provided the best overall traffic performance for bicycle traffic and motor vehicle traffic.

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Modelling Delay at Signalized Intersections under Heterogeneous Traffic Conditions

Cited by 17 publications

References 5 publications

Signal timing at an isolated intersection under mixed traffic environment with self‐organizing connected and automated vehicles

Signal timing at an isolated intersection under mixed traffic environment with self‐organizing connected and automated vehicles

Development of a Theoretical Delay Model for Heterogeneous and Less Lane-Disciplined Traffic Conditions

Traffic Simulation Analysis of Bicycle Highways in Urban Areas

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