TraffCon

Author(s):  
Kevin Collins ◽  
Gabriel-Miro Muntean

Traffic congestion is a major issue in the modern society, and unfortunately, it continues to worsen as the number of cars on the road grows behind the ability of existing road infrastructures to cope. Additionally, vehicle fuel consumption and gas emissions are increasing, and concentrated efforts to propose solutions to reduce these and consequently the pollution are needed. In this context, this chapter presents TraffCon, an innovative vehicle route management solution, which makes use of a novel best route selection algorithm for vehicular traffic routing and of vehicular wireless communications to reduce not only journey times but also fuel consumption and as a direct consequence vehicle gas emissions. The chapter shows how TraffCon can be supported by an IEEE 802.11p sparse roadside-vehicle network with very good results in comparison with classic approaches.

Author(s):  
Kevin Collins ◽  
Gabriel-Miro Muntean

Traffic congestion is a major issue in the modern society, and unfortunately, it continues to worsen as the number of cars on the road grows behind the ability of existing road infrastructures to cope. Additionally, vehicle fuel consumption and gas emissions are increasing, and concentrated efforts to propose solutions to reduce these and consequently the pollution are needed. In this context, this chapter presents TraffCon, an innovative vehicle route management solution, which makes use of a novel best route selection algorithm for vehicular traffic routing and of vehicular wireless communications to reduce not only journey times but also fuel consumption and as a direct consequence vehicle gas emissions. The chapter shows how TraffCon can be supported by an IEEE 802.11p sparse roadside-vehicle network with very good results in comparison with classic approaches.


2021 ◽  
Vol 13 (3) ◽  
pp. 68
Author(s):  
Steven Knowles Flanagan ◽  
Zuoyin Tang ◽  
Jianhua He ◽  
Irfan Yusoff

Dedicated Short-Range Communication (DSRC) or IEEE 802.11p/OCB (Out of the Context of a Base-station) is widely considered to be a primary technology for Vehicle-to-Vehicle (V2V) communication, and it is aimed toward increasing the safety of users on the road by sharing information between one another. The requirements of DSRC are to maintain real-time communication with low latency and high reliability. In this paper, we investigate how communication can be used to improve stopping distance performance based on fieldwork results. In addition, we assess the impacts of reduced reliability, in terms of distance independent, distance dependent and density-based consecutive packet losses. A model is developed based on empirical measurements results depending on distance, data rate, and traveling speed. With this model, it is shown that cooperative V2V communications can effectively reduce reaction time and increase safety stop distance, and highlight the importance of high reliability. The obtained results can be further used for the design of cooperative V2V-based driving and safety applications.


Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3622 ◽  
Author(s):  
Jin-Woo Kim ◽  
Jae-Wan Kim ◽  
Dong-Keun Jeon

Vehicular ad hoc networks (VANETs) provide information and entertainment to drivers for safe and enjoyable driving. Wireless Access in Vehicular Environments (WAVE) is designed for VANETs to provide services efficiently. In particular, infotainment services are crucial to leverage market penetration and deployment costs of the WAVE standard. However, a low presence of infrastructure results in a shadow zone on the road and a link disconnection. The link disconnection is an obstacle to providing safety and infotainment services and becomes an obstacle to the deployment of the WAVE standard. In this paper, we propose a cooperative communication protocol to reduce performance degradation due to frequent link disconnection in the road environment. The proposed protocol provides contention-free data delivery by the coordination of roadside units (RSUs) and can provide the network QoS. The proposed protocol is shown to enhance throughput and delay through the simulation.


Author(s):  
Norlezah Hashim ◽  
Fakrulradzi Idris ◽  
Ahmad Fauzan Kadmin ◽  
Siti Suhaila Jaapar Sidek

Traffic lights play such important role in traffic management to control the traffic on the road. Situation at traffic light area is getting worse especially in the event of emergency cases. During traffic congestion, it is difficult for emergency vehicle to cross the road which involves many junctions. This situation leads to unsafe conditions which may cause accident. An Automatic Traffic Light Controller for Emergency Vehicle is designed and developed to help emergency vehicle crossing the road at traffic light junction during emergency situation. This project used Peripheral Interface Controller (PIC) to program a priority-based traffic light controller for emergency vehicle. During emergency cases, emergency vehicle like ambulance can trigger the traffic light signal to change from red to green in order to make clearance for its path automatically. Using Radio Frequency (RF) the traffic light operation will turn back to normal when the ambulance finishes crossing the road. Result showed the design is capable to response within the range of 55 meters. This project was successfully designed, implemented and tested.


2021 ◽  
pp. 93-98
Author(s):  
Р.Д. Адакин ◽  
И.М. Соцкая

Представлена разработанная программа «Технический сервис», обменивающаяся информацией с базой данных систем ГЛОНАСС/GPS. Данная программа работает по сети и позволяет оповещать технический персонал, занимающийся обслуживанием, ремонтом и выпуском на линию или в рейс автотранспорта, напоминая ему о времени наступления прохождения технического обслуживания (ТО) для каждой единицы техники предприятия. При этом идёт информирование о количестве заменяемых жидкостей, марок и кодов фильтров, с краткой историей о неисправностях и ДТП техники, а также дублированием всей информации с системы ГЛОНАСС: расход топлива, пробег, скорость, марки и госномера техники. Разработанная программа имеет следующие возможности: хранит список техники с государственными номерами, постоянно обновляя данные о пробегах автотранспорта; хранит для каждой единицы техники необходимую информацию для проведения ТО автотранспорта, краткую историю о крупных неисправностях, проведённых капитальных ремонтах и ДТП автотранспорта. Данную информацию можно распечатать или сохранить на компьютер. Вовремя проведённое ТО является основой и залогом безотказной работы автотранспорта, что сказывается на успешном ведении бизнеса. The developed program "Technical Service" is presented, exchanging information with the database of GLONASS/GPS systems. This program works on the network and allows you to notify technical personnel engaged in service, repair and release on the road or on a motor vehicle trip, reminding them of the time of receipt of maintenance operation (MOT) for each unit of the enterprise equipment. At the same time, there is information about the number of liquids, grades and filter codes to be replaced with a short history of equipment malfunctions and accidents of vehicles, as well as duplication of all information from the GLONASS system: fuel consumption, mileage, speed, brands and license plates of vehicles. The developed program has the following capabilities: stores a list of vehicles with license plates, constantly updating data on vehicle mileage, and stores for each unit of equipment the necessary information for maintenance operation of vehicles, a short history of major malfunctions, major repairs and accidents of vehicles. This information can be printed or saved to a computer. Timely maintenance operation is the basis and key to the failure-free operation of vehicles, which affects the successful conduct of business.


2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Tolesa Hundesa Muleta ◽  
Legesse Lemecha Obsu

In this paper, the analyses of traffic evolution on the road network of a roundabout having three entrances and three exiting legs are conducted from macroscopic point of view. The road networks of roundabouts are modeled as a merging and diverging types 1×2 and 2×1 junctions. To study traffic evolution at junction, two cases have been considered, namely, demand and supply limited cases. In each case, detailed mathematical analysis and numerical tests have been presented. The analysis in the case of demand limited showed that rarefaction wave fills the portion of the road network in time. In the contrary, in supply limited case, traffic congestion occurs at merging junctions and shock wave propagating back results in reducing the performance of a roundabout to control traffic dynamics. Also, we illustrate density and flux profiles versus space discretization at different time steps via numerical simulation with the help of Godunov scheme.


Author(s):  
Jianbing Gao ◽  
Haibo Chen ◽  
Kaushali Dave ◽  
Junyan Chen ◽  
Ying Li ◽  
...  

Road transportations still play a dominant role in goods delivery, and driving behaviours significantly affect the fuel economy of heavy-duty trucks. Plenty of fossil fuel is wasted as a result of unreasonable driving behaviours even in the case of highly experienced drivers. The objective of this paper is to analyse drivers’ behaviours over two segments of motorways and estimate the potential benefits of fuel saving caused by a change in driving habits during national and international goods delivery. Drivers’ habits on motorways change depending on the road situations. In the acceleration process, the fuel consumption rates are huge even under low-speed conditions. The truck fuel consumption rates are exaggerated by positive road slopes, but still dominated by acceleration. Accelerations are generally in normal distributions, with the median value being approximately 0.5 m/s2. The speed ranges corresponding to each gear enlarge with the increase in gear number. The potentials of annual fuel saving for parts of European Union countries are nearly 2 × 106 m3 by adopting proper driving behaviours.


2012 ◽  
Vol 485 ◽  
pp. 127-130 ◽  
Author(s):  
Bin Xia Xue ◽  
Han Xu

Ice and snow cleaning on the road has been the disturbing issue in northern cities. A series of problems resulting from ice and snow also have caused loss to people’s lives and national economy, such as traffic congestion and frequent accidents. Moreover the resource waste exits due to irrational development and utilization. In this paper based on the recycle and utilization system of urban street rainwater, heating cable assemblies are added and the collection, melting, chemical and biological treatment and reuse of ice and snow are finally achieved through remote control, providing the advanced research ideas for the reclamation and utilization of urban rainwater and snow and water cycle.


2019 ◽  
Vol 19 (2) ◽  
pp. 133-142
Author(s):  
Gus Maelan Irfana ◽  
Nurul Hidayati ◽  
Sri Sunarjono

Abstract Traffic congestion in the City of Surakarta gave rise to a phenomenal figure among motor vehicle drivers, called the Traffic Control Volunteers or abbreviated as Supeltas. This Supeltas is present on the road to help organize the movement of traffic, as happened at the Surakarta Ganesha Unsignalized Intersection. This study aims to determine the influence of the existence of Supeltas on capacity, degree of saturation, delay, and queuing opportunities that occur at the intersection. The analysis was carried out using the 1997 Indonesian Highway Capacity Manual. The results showed that the intersection without Supeltas had a capacity of 3,114.03 pcu/hour and a degree of saturation of 1.47, while the same intersection but with Supeltas had a capacity of 3,136.81 pcu/hour and a degree of saturation of 1.51. These results indicate that Supeltas has a positive influence on the performance of the intersection. Nevertheless, the degree of saturation in the location increased due to the increase in traffic volume as well as increased capacity. Keywords: unsignalized intersection, intersection performance, intersection capacity, degree of saturation  Abstrak Kemacetan lalu lintas di Kota Surakarta memunculkan sosok fenomenal di kalangan pengendara kendaraan bermotor, yang disebut Sukarelawan Pengatur Lalu Lintas atau disingkat Supeltas. Supeltas ini hadir di jalan untuk membantu mengatur pergerakan lalu lintas, seperti yang terjadi di Simpang Tak Bersinyal Ganesha Surakarta. Penelitian ini bertujuan untuk menentukan pengaruh keberadaan Supeltas terhadap kapasitas, derajat kejenuhan, tundaan, dan peluang antrian yang terjadi di simpang tersebut. Analisis dilakukan dengan menggu-nakan Manual Kapasitas Jalan Indonesia 1997. Hasil analisis menunjukkan bahwa simpang tanpa Supeltas memiliki kapasitas sebesar 3.114,03 smp/jam dan derajat kejenuhan 1,47, sedangkan simpang yang sama tetapi dengan Supeltas memiliki kapasitas sebesar 3.136,81 smp/jam dan derajat kejenuhan 1,51. Hasil tersebut menunjukkan bahwa Supeltas mempunyai pengaruh positif terhadap kinerja simpang. Meskipun demikian, derajat kejenuhan di lokasi tersebut meningkat karena bertambahnya volume lalu lintas di samping kapasitas yang juga meningkat. Kata-kata kunci: simpang tak bersinyal, kinerja simpang, kapasitas simpang, derajat kejenuhan


2021 ◽  
Author(s):  
Hongrui Liu ◽  
Rahul Ramachandra Shetty

In the US, over 38,000 people die in road crashes each year, and 2.35 million are injured or disabled, according to the statistics report from the Association for Safe International Road Travel (ASIRT) in 2020. In addition, traffic congestion keeping Americans stuck on the road wastes millions of hours and billions of dollars each year. Using statistical techniques and machine learning algorithms, this research developed accurate predictive models for traffic congestion and road accidents to increase understanding of the complex causes of these challenging issues. The research used US Accidents data consisting of 49 variables describing 4.2 million accident records from February 2016 to December 2020, as well as logistic regression, tree-based techniques such as Decision Tree Classifier and Random Forest Classifier (RF), and Extreme Gradient boosting (XG-boost) to process and train the models. These models will assist people in making smart real-time transportation decisions to improve mobility and reduce accidents.


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