Efficient Priority Control Model for Multimodal Traffic Signals

Zamanipour, Mehdi; Head, Larry; Feng, Yiheng; Khoshmagham, Shayan

doi:10.3141/2557-09

Cited by 31 publications

(28 citation statements)

References 18 publications

(9 reference statements)

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“…This section describes the priority control model utilized for the study. The control logic developed in a study [13] was implemented. A mixed-integer linear program and a flexible implementation algorithm were utilized considering real-time vehicle actuation.…”

Section: Fsp Priority Controlmentioning

confidence: 99%

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Environmental Impact of Freight Signal Priority with Connected Trucks

2019

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Traffic signal priority is an operational technique employed for the smooth progression of a specific type of vehicle at signalized intersections. Transit signal priority is the most common type of traffic signal priority, and it has been researched extensively. Conversely, the impacts of freight signal priority (FSP) has not been widely investigated. Hence, this study aims to evaluate the energy and environmental impacts of FSP under connected vehicle environment by utilizing a simulation testbed developed for the multi-modal intelligent transportation signal system. The simulation platform consists of VISSIM microscopic traffic simulation software, a signal request messages distributor program, an RSE module, and an Econolite ASC/3 traffic controller emulator. The MOVES model was employed to estimate the vehicle fuel consumption and emissions. The simulation study revealed that the implementation of FSP significantly reduced the fuel consumption and emissions of connected trucks and general passenger cars; the network-wide fuel consumption was reduced by 11.8%, and the CO 2 , HC, CO, and NO X emissions by 11.8%, 28.3%, 24.8%, and 25.9%, respectively. However, the fuel consumption and emissions of the side-street vehicles increased substantially due to the reduced green signal times on the side streets, especially in the high truck composition scenario.

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Section: Fsp Priority Controlmentioning

confidence: 99%

“…When the priority request vehicle gets off the intersection or when the speed of the vehicle is out of a predefined threshold, the priority request is updated. This process is explained in detail in literature [13].…”

Section: Fsp Priority Controlmentioning

confidence: 99%

Environmental Impact of Freight Signal Priority with Connected Trucks

2019

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“…Traffic Signal Priority Systems (TSPS) are giving less attention in the literature compared to TSCS. Such systems can be classified into six cathegories [40] which are; pre-emption versus priority (pre-emption can be considered as the highest level of priority), one approach versus conflicting approaches, active transit signal priority versus passive transit signal priority, signal mode versus multiple mode, signal intersection versus coordinated intesection, and one request at a time versus multiple request. The majority of TSPS in the literature relies on electronics techology allowing the detection of EVs, the communication between those vehicles and traffic signals.…”

Section: An Overview On Traffic Signals Control and Priority Systemsmentioning

confidence: 99%

Multi-agent preemptive longest queue first system to manage the crossing of emergency vehicles at interrupted intersections

Louati

Elkosantini

Darmoul³

et al. 2018

Eur. Transp. Res. Rev.

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Favouring the crossing of Emergency Vehicles (EVs) through intersections in urban cities is very critical for people lives. There have been several efforts toward developing Traffic Signal Control Systems (TSCS) dedicated to control efficiently the traffic flow, but few are the efforts toward developing Traffic Signal Priority Systems (TSPS) dedicated to favour the crossing of EVs (such as ambulances, firefighters, police cars, etc.). Multi-Agent Systems were considered to develop several distributed TSCS, while very few works have developed distributed TSPS. Such systems lack on dealing with the EVs crossing issues while maintaining a fluid state of the traffic. In the literature, the Longest Queue First-Maximal Weight Matching (LQF-MWM) is proved to guarantee a stable TSCS. Recently, the LQF-MWM technique is increasingly used to benchmarck and assess adaptive TSCS. Moreover, the preemption is one of the most effective techniques used to prioritise the crossing of EVs. This paper is the first to rely on LQF-MWM assumptions, preemption technique, and Multi-Agent Systems to design a distributed TSPS. The suggested system has two main purposes, which are the guidance of EVs and the control of traffic signals. Nine agents are implemented to govern a network of nine intersections, where each agent uses the Multi Agent System based Preemptive Longest Queue First-Maximal Weight Matching. We have referred to VISSIM traffic simulation software for benchmarking and analysis. To assess the suggested system, we have developed a distributed and preemptive version of VISSIM Optimized Stage-Based Fixed-Time algorithm. Python is considered to develop the suggested systems, and Spade platform is considered as agents' platform. Several Key Performance Indicators are considered to assess the performance of all controllers including delay time, travel time, vehicles queue occupancy, number of stops, distance traversed, and speed. Experimental results show a competitive performance of the developed system to maintain a fluid traffic and guide efficiency EVs.

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“…In order to ensure the accuracy of the bus arrival time and minimize the adverse effects on the general traffic, a new priority sequence between the two successive stations was proposed by Hao et al [13]. To resolve conflicting priority requests among social vehicles, pedestrians, buses, and emergency vehicles, Zamanipour et al designed a priority decision framework with multiple models under connected vehicle environment and used the weights of all kinds of vehicles as the basis for determining the priority decision [14]. He et al formulated a mixed-integer linear program (MILP) under multirequest which explicitly accommodated multiple priority requests from different modes of vehicles and pedestrians while simultaneously considering coordination and vehicle actuation [15].…”

Section: Introductionmentioning

confidence: 99%

Optimization Method for Transit Signal Priority considering Multirequest under Connected Vehicle Environment

Song

Mili

et al. 2018

Journal of Advanced Transportation

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Aiming at reducing per person delay, this paper presents an optimization method for Transit Signal Priority (TSP) considering multirequest under connected vehicle environment, which is based on the travel time prediction model. Conventional arrival time of transit depended on the detection information and the front road state, which restricted the effect of priority seriously. According to the bidirectional and real-time information transmission under connected vehicle environment, this paper establishes a more accurate forecasting model of bus travel time. Based on minimizing the total person delay at the intersection, the decision mechanism of multirequest is devised to meet the priority needs of buses with different arrival times. And the green time compensation algorithm is developed after considering the arrival information of the buses in the next cycle of compensational phase. Finally, the paper combines the COM interface of VISSIM and Matlab to achieve the proposed method under connected vehicle environment. Four control methods were tested when the VCR was 0.5, 0.7, and 0.9. The results illustrated that the proposed method reduced per person delay by 18.57%, 11.88%, and 18.96% and decreased the private vehicle delay by 3.73%, 7.62%, and 13.10%, respectively.

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Efficient Priority Control Model for Multimodal Traffic Signals

Cited by 31 publications

References 18 publications

Environmental Impact of Freight Signal Priority with Connected Trucks

Environmental Impact of Freight Signal Priority with Connected Trucks

Multi-agent preemptive longest queue first system to manage the crossing of emergency vehicles at interrupted intersections

Optimization Method for Transit Signal Priority considering Multirequest under Connected Vehicle Environment

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