Signal Priority Request Delay Modeling and Mitigation for Emergency Vehicles in Connected Vehicle Environment

Abstract

Connected vehicle-based signal priority control is widely regarded as an advanced method for improving travel efficiency of an emergency vehicle when passing through intersections. However, the vehicle-to-everything (V2X) communication delay is a critical factor affecting the performance of signal request and has rarely been considered in existing studies. This paper conducted a comprehensive delay analysis of the preemption signal request and its influence on practical preemption control for the emergency vehicle. First of all, a general end-to-end delay decomposition model is formulated to analyze significant delay uncertainties from different sources. Then, a compensated distance strategy is adopted for cooperative preemption control to ensure the reliability of preemption control and minimize impacts on performance caused by communication delay. Based on the analysis of field data and numerical results, the proposed model is able to reveal characteristics of communication delay for multimodal traffic signal control with priority. The proposed communication delay compensation strategy shows clear benefits in improving the performance of signal preemption control priority for an emergency vehicle at intersections and therefore has potential to enhance V2X applications in a connected vehicle environment.

Platoon Priority Visualization Modeling and Optimization for Signal Coordination in the Connected Vehicle Environment

“…This section provides evaluations and results analysis. First, field implementations were conducted in a typical arterial scenario using the existing ACTIVE testbed ( 28 ). Both vehicle and infrastructure data were collected and used to analyze performances of the CV-based signal coordination prototype qualitatively.…”

“…In Figure 5, three types of data were captured as inputs: 1) BSM data obtained from an OBE equipped on the test vehicle, 2) SPaT data, and 3) offset data recorded using the existing ACTIVE CV pilot, in Edmonton, Canada ( 28 ).…”

“…As shown in Figure 5 a , the field test was conducted on a typical arterial segment located at 23 Avenue NW between 119 Street and Saddleback Road, Edmonton, Alberta, Canada, i.e., a circuit of the ACTIVE testbed ( 28 ). A comprehensive overview of traffic volumes on the roadway was described by a parameter called average annual weekday traffic (AAWDT).…”

“…Thus, this study segment can confidently be considered as a representative of arterial roads. Figure 5 g and h show given data frame’s structures of implemented BSM and SPaT messages evaluated in the field ( 3 , 28 , 29 ), which described the parameters of the connected intersection and vehicle.…”

Traffic Signal Priority Control Strategy for Connected Emergency Vehicles with Dilemma Zone Protection for Freight Vehicles

“…Statistics have shown that slow response to emergency calls increases the casualty rate of the victims. Fogue et al (4) and Li et al (5) cited that 10% of casualties occur within just a few minutes or seconds after crashes. The survival rate of a patient is reduced by 7% to 10% with every elapsed minute (6).…”