scholarly journals The Use of Adaptive Traffic Signal Systems Based on Floating Car Data

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Vittorio Astarita ◽  
Vincenzo Pasquale Giofrè ◽  
Giuseppe Guido ◽  
Alessandro Vitale
Keyword(s):  
Traffic Safety ◽  
Large Scale ◽  
Traffic Signal ◽  
Traffic Information ◽  
Traffic Light ◽  
Traffic Lights ◽  
Floating Car Data ◽  
Signal Systems ◽  
New Ideas ◽  
Global Navigation Satellite

This paper presents a simple concept which has not been, up to now, thoroughly explored in scientific research: the use of information coming from the network of Internet connected mobile devices (on vehicles) to regulate traffic light systems. Three large-scale changes are going to shape the future of transportation and could lead to the regulation of traffic signal system based on floating car data (FCD): (i) the implementation of Internet connected cars with global navigation satellite (GNSS) system receivers and the autonomous car revolution; (ii) the spreading of mobile cooperative Web 2.0 and the extension to connected vehicles; (iii) an increasing need for sustainability of transportation in terms of energy efficiency, traffic safety, and environmental issues. Up to now, the concept of floating car data (FCD) has only been extensively used to obtain traffic information and estimate traffic parameters. Traffic lights regulation based on FCD technology has not been fully researched since the implementation requires new ideas and algorithms. This paper intends to provide a seminal insight into the important issue of adaptive traffic light based on FCD by presenting ideas that can be useful to researchers and engineers in the long-term task of developing new algorithms and systems that may revolutionize the way traffic lights are regulated.

scholarly journals A Single Intersection Cooperative-Competitive Paradigm in Real Time Traffic Signal Settings Based on Floating Car Data

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 409 ◽  
Author(s):  
Vittorio Astarita ◽  
Vincenzo Pasquale Giofrè ◽  
Giuseppe Guido ◽  
Alessandro Vitale
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Traffic Safety ◽  
New Technologies ◽  
Traffic Signal ◽  
Pollutant Emissions ◽  
Connected Vehicles ◽  
Floating Car Data ◽  
Real Time Traffic ◽  
Signal Systems

New technologies such as "connected" and "autonomous" vehicles are going to change the future of traffic signal control and management and possibly will introduce new traffic signal systems that will be based on floating car data (FCD). The use of floating car data to regulate traffic signal systems, in real time, has the potential for an increased sustainability of transportation in terms of energy efficiency, traffic safety and environmental issues. However, research has never explored how not "connected" vehicles would benefit by the implementation of such systems. This paper explores the use of floating car data to regulate traffic signal systems in real-time in a single intersection and in terms of cooperative-competitive paradigm between "connected" vehicles and conventional vehicles. In a dedicated laboratory, developed for testing regulation algorithms, results show that "invisible vehicles" for the system (which are not "connected") in most simulated cases also benefit when real time traffic signal settings based on floating car data are introduced. Moreover, the study estimates the energy and air quality impacts of a single intersection signal regulation by evaluating fuel consumption and pollutant emissions. Specifically, the study demonstrates that significant improvements in air quality are possible with the introduction of FCD regulated traffic signals.

scholarly journals Cooperative-Competitive Paradigm in Real Time Traffic Signal Settings Based on Floating Car Data

2018 ◽  
Author(s):  
Vittorio Astarita ◽  
Vincenzo Pasquale Giofrè ◽  
Giuseppe Guido ◽  
Alessandro Vitale
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Traffic Safety ◽  
New Technologies ◽  
Traffic Signal ◽  
Pollutant Emissions ◽  
Connected Vehicles ◽  
Floating Car Data ◽  
Real Time Traffic ◽  
Signal Systems

New technologies such as "connected" and "autonomous" vehicles are going to change the future of traffic signal control and management and possibly will introduce new traffic signal systems that will be based on floating car data (FCD). The use of floating car data to regulate, in real-time, traffic signal systems has the potential for an increased sustainability of transportation in terms of energy efficiency, traffic safety and environmental issues. However, research has never explored how not "connected" vehicles would benefit by the implementation of such systems. This paper explores the use of floating car data to regulate in real-time traffic signal systems in terms of cooperative-competitive paradigm between "connected" vehicles and conventional vehicles. In a dedicated laboratory, developed for testing regulation algorithms, results show that "invisible vehicles" for the system (which are not "connected") in most simulated cases also benefit when real time traffic signal settings based on floating car data are introduced. Moreover, the study estimates the energy and air quality impacts of signal regulation by evaluating fuel consumption and pollutant emissions. Specifically, the study demonstrates that significant improvements in air quality are possible with the introduction of FCD regulated traffic signals.

scholarly journals Evaluation of the traffic signal regulation efficiency of crossroads with unstable transport demand by time

2018 ◽  
Vol 170 ◽  
pp. 05013
Author(s):  
Ilya Anisimov ◽  
Anastasia Burakova ◽  
Olga Burakova ◽  
Lyudmila Burakova
Keyword(s):  
Urban Areas ◽  
Experimental Studies ◽  
Idle Time ◽  
Traffic Signal ◽  
Main Direction ◽  
Transport Infrastructure ◽  
Entry And Exit ◽  
Traffic Light ◽  
Traffic Lights ◽  
Inefficient Operation

The article describes the results of the research, whose goal is to assess the effectiveness of the traffic light operation at crossroads with unstable transport demand in terms of time and directions. The modern way of cities development consists in creation of sustainable, and, hence, safe, harmless and comfortable environment for residing. This determines the separation of urban and industrial areas, the creation of transport infrastructure, in particular crossroads, which are equipped with traffic lights. As a rule, it is characterized by unstable transport demand in the direction of entry and exit from the territory of enterprises, which causes an inadvertent increase in the idle time of vehicles in the main direction. In the course of experimental studies, the authors found that the crossroads under consideration are parts of the road network that connect the industrial and urban areas, which causes a high traffic intensity in the main areas. At the same time, the share of ineffective resolving phase for entry and exit from the territory of the enterprise reaches 70-80%, which increases the idle time of vehicles in the main direction. The authors proposed an indicator that characterizes the proportion of inefficient operation of the traffic signal.

scholarly journals Perceived Safety Benefits of Aftermarket Driver Support Systems: Results from a Large Scale European Field Operational Test (FOT)

Safety ◽  
2018 ◽  
Vol 4 (4) ◽  
pp. 54
Author(s):  
Ruth Welsh ◽  
Andrew Morris
Keyword(s):  
Traffic Safety ◽  
Large Scale ◽  
Operating Conditions ◽  
Traffic Information ◽  
Support Functions ◽  
Perceived Safety ◽  
Operational Test ◽  
Field Operational Test ◽  
Perceptions Of Safety ◽  
Safety Benefit

A field operational test (FOT) is a technique used within traffic safety to evaluate the overall value of in-vehicle information systems (IVISs) under normal operating conditions. In this study, a pan-European FOT was used to evaluate Navigation, Speed Information/Alert, Traffic Information, and Green Driving Support functions together with participants’ perceptions of safety’ before, during, and after using the functions. Through utilization and adherence to the FOT methodology, data were collected over a period ranging from 8 to 16 months in five European countries in order to assess the driver pre-conceived ideas and subsequent subjective and objective experiences with the IVIS functions. Several analyses of data were conducted, and this paper describes the results relating to the ‘user-experience’ as evaluated through subjective responses. The study showed that before the FOTs started, overall participants expected a higher safety benefit through using Speed Alert compared to the other functions. This function was also perceived to offer the highest safety benefit after the FOT had been completed. Perceptions of safety were found to be lowest for the green-driving function. The results offer insights into public expectations of IVIS functions and how these change with experience and overall; they suggest that, in some cases, the perception to safety benefits could be somewhat misplaced.

Employing Traffic Lights as Road Side Units for Road Safety Information Broadcast

2015 ◽  
pp. 143-159
Author(s):  
Navin Kumar ◽  
Luis Nero Alves ◽  
Rui L. Aguiar
Keyword(s):  
Traffic Safety ◽  
Intelligent Transportation Systems ◽  
Safety Information ◽  
Visible Light Communication ◽  
Transportation Systems ◽  
Vehicular Communication ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
Smooth Flow

There is great concern over growing road accidents and associated fatalities. In order to reduce accidents, improve congestion and offer smooth flow of traffic, several measures, such as providing intelligence to transport, providing communication infrastructure along the road, and vehicular communication, are being undertaken. Traffic safety information broadcast from traffic lights using Visible Light Communication (VLC) is a new cost effective technology which assists drivers in taking necessary safety measures. This chapter presents the VLC broadcast system considering LED-based traffic lights. It discusses the integration of traffic light Roadside Units (RSUs) with upcoming Intelligent Transportation Systems (ITS) architecture. Some of the offered services using this technology in vehicular environment together with future directions and challenges are discussed. A prototype demonstrator of the designed VLC systems is also presented.

Computing Traffic Information in the Cloud

2015 ◽  
pp. 1062-1079
Author(s):  
Po-Ting Wei ◽  
Tai-Chi Wang ◽  
Shih-Yu Chang ◽  
Yeh-Ching Chung
Keyword(s):  
Ad Hoc Networks ◽  
Real Time ◽  
Traffic Safety ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Traffic Information ◽  
Traffic Light ◽  
Real Time Traffic ◽  
Hoc Networks ◽  
Commercial Applications

Vehicular ad hoc networks have been envisioned to be useful in road safety and commercial applications. In addition, in-vehicle capabilities could be used as a service to provide a variety of applications, for example, to provide real-time junction view of road intersections or to address traffic status for advanced traffic light control. In this work, the authors construct a cloud service over vehicular ad hoc networks to provide event data including capturing videos or Global Positioning System (GPS) data. Moreover, the authors integrate the GPS receiver and the navigation software equipped over On Board Unit to create a Geographic Information System digital map and to offer a traffic safety application. The hardware is implemented by Eeepad for integrating camera and GPS. Furthermore, the cyclic recording scheme has been addressed for data transmission and query. With the design, people can get real-time traffic information including traffic videos or geographical data in the cloud.

scholarly journals Automated Incident Detection Using Real-Time Floating Car Data

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Maarten Houbraken ◽  
Steven Logghe ◽  
Marco Schreuder ◽  
Pieter Audenaert ◽  
Didier Colle ◽  
...  
Keyword(s):  
Traffic Safety ◽  
Large Scale ◽  
Low Cost ◽  
Field Trials ◽  
Traffic Monitoring ◽  
Sensor Data ◽  
Feasibility Trial ◽  
Incident Detection ◽  
The Road ◽  
Floating Car Data

The aim of this paper is to demonstrate the feasibility of a live Automated Incident Detection (AID) system using only Floating Car Data (FCD) in one of the first large-scale FCD AID field trials. AID systems detect traffic events and alert upcoming drivers to improve traffic safety without human monitoring. These automated systems traditionally rely on traffic monitoring sensors embedded in the road. FCD allows for finer spatial granularity of traffic monitoring. However, low penetration rates of FCD probe vehicles and the data latency have historically hindered FCD AID deployment. We use a live country-wide FCD system monitoring an estimated 5.93% of all vehicles. An FCD AID system is presented and compared to the installed AID system (using loop sensor data) on 2 different highways in Netherlands. Our results show the FCD AID can adequately monitor changing traffic conditions and follow the AID benchmark. The presented FCD AID is integrated with the road operator systems as part of an innovation project, making this, to the best of our knowledge, the first full chain technical feasibility trial of an FCD-only AID system. Additionally, FCD allows for AID on roads without installed sensors, allowing road safety improvements at low cost.

scholarly journals An Improved Smart Traffic Signal using Computer Vision and Artificial Intelligence

2019 ◽  
Vol 8 (4) ◽  
pp. 4124-4131
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Traffic Safety ◽  
Intelligent Transportation Systems ◽  
Traffic Monitoring ◽  
Transportation Systems ◽  
Traffic Signal ◽  
Traffic Light ◽  
Traffic System ◽  
Computer Vision Technology

The growth in population all over the world and in particular in India causes an increase in the number of vehicles which, create complications regarding traffic jam and traffic safety. The primary solution to recover the jam condition is the expansion of capacities of roads by building new streets. However, this requires extra efforts and more time that is a costly and ineffective solution. Therefore, there is a need for alternative solution methodologies that are being implemented. Intelligent traffic monitoring is a branch of intelligent transportation systems that focuses on improving traffic signal conditions. The key goal of such an intelligent monitoring system is to improve the traffic system in a way that reduces delays. Many cities facing these delays because of the inefficient configuration of traffic light systems which are mostly fixed-cycle protocol based. Therefore, there is a profound need to improve and automate these traffic light systems. The establishment of a mixed technique of artificial intelligence (AI) and computer vision (CV) can be desirable to develop an authenticated and scalable traffic system which can aid to solve such problems. Proposed work supports the use of computer vision technology to build a resource-efficient, synchronous and automated traffic analysis. Video samples were collected from multiple areas to use in the system. The system applied and the vehicle was counted and classified into different classes. Manually and automatically annotated patterns were used for the classification. The multi-reference-line mechanism employed to find the speed of the vehicle and analyze traffic. The system makes its decision based on a number of vehicles, backwards-forward synchronous data and emergency conditions.

OPTIMISING TRAFFIC FLOW AT A SIGNALISED INTERSECTION USING SIMULATION

2019 ◽  
Vol 4 (2) ◽  
pp. 261
Author(s):  
Muhammad Rozi Malim ◽  
Faridah Abdul Halim ◽  
Sherey Sufreney Abd Rahman
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Simulation Software ◽  
Traffic Signal ◽  
Traffic Data ◽  
Traffic Light ◽  
Traffic Lights ◽  
Light Management ◽  
Optimal Setting ◽  
Pedestrian Crossing

Traffic signal lights system is a signalling device located an intersection or pedestrian crossing to control the movement of traffic. The timing of traffic signal lights has attracted many researchers to study the problems involving traffic light management and looking for an inexpensive and effective solution that requires inexpensive changes in the infrastructures. A simple traffic lights system uses a pre-timed control setting based on the latest traffic data, and the setting could be manually changed. It is a common type of signal control and sometimes the setting was not correctly configured with the traffic data, thus leading to congestion at an intersection. Many mathematical strategies were applied to get an optimal setting. This study aims to model the traffic flow at Persiaran Kayangan and Persiaran Permai Intersection, Section 7, Shah Alam, as the case study, by using AnyLogic simulation software. The model was used to determine the best timings of traffic green lights that minimise the average time at the intersection and reduce traffic congestion. The findings showed that the best timings of traffic green lights for four directions at the intersection are 120 seconds, 75 seconds, 130 seconds and 100 seconds, respectively. These timings of green lights produced the lowest average time at the intersection (55.65 seconds).

scholarly journals Autonomous Agents as Tools for Modeling and Building Complex Control Systems that Operate in Dynamic and Unpredictable Environment

2013 ◽  
Vol 1 (2) ◽  
pp. 47-53
Author(s):  
Alketa Hyso ◽  
Eva Cipi
Keyword(s):  
Control Systems ◽  
Large Scale ◽  
Autonomous Agents ◽  
Environmental Changes ◽  
Control Algorithms ◽  
Traffic Light ◽  
Multiagent Simulation ◽  
Traffic Lights ◽  
Complex Control ◽  
Unpredictable Environment

Complex control systems that operate in not entirely predictable environment have to deal with this environment in an autonomous manner using adaptability, the ability to predict environmental changes, and to maintain their integrity. Elements of the system must be able to find a new solution in a dynamic way. In this paper, we present the modeling of a traffic lights’ control system using a multivalent system. This is a large-scale distributed system, consisting of autonomous and rational traffic light agents, in which there is no centre imposing an outcome. Multiagent system brings another kind of organization of the distributed control. The information is distributed over the agents. The behavior of the other agents is incorporated into the making decision process of the agent. We apply different control algorithms in our multiagent simulation environment and show that using multiagent systems in dynamic and unpredictable environment the control will be adoptable.

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