scholarly journals Basic Design Architecture of Congestion Notification System: A Real Time Road Traffic Information Enabler

2021 ◽  
Vol 40 (1) ◽  
pp. 1-5
Author(s):  
J.A. Odeleye ◽  
L.I. Umar
Keyword(s):  
Real Time ◽  
Traffic Congestion ◽  
Road Traffic ◽  
Well Being ◽  
Transport Infrastructure ◽  
Traffic Information ◽  
Intelligent Transport System ◽  
Notification System ◽  
Alternative Routes ◽  
Road Traffic Congestion

Road traffic congestion is a prominent challenge of today’s urban center. As a push factor of urban centers, it impact negatively on socio-economic well-being of cities. However, contemporary innovative transport technology of Intelligent Transport System (ITS) is bridging the traveler information gaps, through installation and deployment of smart transport infrastructure such as Congestion Notification System at critical traffic intersections and points that aggravate road traffic congestion. This paper therefore provides a detailed explanation on the configuration and basic architecture of a primary Congestion Notification System (CNS) stating its working principles in providing real time road traffic congestion level information to motorist, prior entering the congestion zones or section of the road. Thus, engendering informed decision by motorists on alternative routes rather than the congested route.

scholarly journals Road Traffic Congestion Management Based on a Search-Allocation Approach

2017 ◽  
Vol 18 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Jamal Raiyn
Keyword(s):  
Travel Time ◽  
Real Time ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Road Traffic ◽  
Smart Cities ◽  
Self Regulation ◽  
Congestion Management ◽  
Shortest Route ◽  
Road Traffic Congestion

Abstract This paper introduces a new scheme for road traffic management in smart cities, aimed at reducing road traffic congestion. The scheme is based on a combination of searching, updating, and allocation techniques (SUA). An SUA approach is proposed to reduce the processing time for forecasting the conditions of all road sections in real-time, which is typically considerable and complex. It searches for the shortest route based on historical observations, then computes travel time forecasts based on vehicular location in real-time. Using updated information, which includes travel time forecasts and accident forecasts, the vehicle is allocated the appropriate section. The novelty of the SUA scheme lies in its updating of vehicles in every time to reduce traffic congestion. Furthermore, the SUA approach supports autonomy and management by self-regulation, which recommends its use in smart cities that support internet of things (IoT) technologies.

scholarly journals DEVELOPMENT OF WEBGIS BASED REAL TIME ROAD TRAFFIC INFORMATION SYSTEM

2018 ◽  
Vol IV-5 ◽  
pp. 37-45
Author(s):  
H. Shankar ◽  
M. Sharma ◽  
K. Oberai ◽  
S. Saran
Keyword(s):  
Information System ◽  
Real Time ◽  
Traffic Congestion ◽  
Road Traffic ◽  
Transportation Cost ◽  
Traffic Information ◽  
Traffic Density ◽  
Vehicle To Vehicle ◽  
Decision Making Processes ◽  
Inductive Loop Detector

<p><strong>Abstract.</strong> Rapid increase in road traffic density results into a serious problem of Traffic Congestion (TC) in cities. During peaks hours TC is very high and hence public search least congested path for their journeys in order to minimize ravel time and hence transportation cost. In this study, a new empirical model was developed to estimate congestion levels using real time road Traffic Parameters (TPs) such as vehicle density, speed, class and vehicle-to-vehicle (V2V) gap. These real time road TPs were collected using latest generation Inductive Loop Detector (ILD) technology. Further, a WebGIS based Road Traffic Information System (RTIS) for Dehradun city was developed for real time TD analyses and visualisation. This RTIS is very useful for public and user departments for planning and decision making processes. No other such system is available in India, which handles multiple traffic parameters simultaneously to provide solution of day-to-day problems.</p>

scholarly journals The role of Internet of Things on intelligent transport system: A traffic optimization model

2020 ◽  
Author(s):  
Islam Saleh Hassanin
Keyword(s):  
Internet Of Things ◽  
Transport System ◽  
Radio Frequency Identification ◽  
Optimization Model ◽  
Traffic Congestion ◽  
Road Traffic ◽  
Traffic Information ◽  
Intelligent Transport System ◽  
Minimization Method ◽  
Intelligent Transport

The road traffic congestion has become an excessive problem and a great pressure on both the governmental and social aspects especially in megacities. Hence, developing control systems that administrate the traffic flows is a vigorous solution, which can solve the problem of traffic congestion especially in megacities that should convert their services to be smart. The Intelligent Transport System (ITS) one of the Internet of Things (IoT) applications that provides a group of pioneer schemes for handling the challenges of traffic congestion. Traditionally, sensor-based structures have been used for gathering traffic information, but the coverage, cost, and real-time matters have remained unexplained. Thus, this paper aims at proposing a new model named Traffic Flow Optimization Model (TFOM) applied in Alexandria as a case study, which is considered a cost-effective and easily maintainable traffic congestion minimization method. It combines Infra-Red (IR) and active Radio Frequency Identification (RFID) technologies. TFOM is designed to minimize traffic congestion, given reroute options to the users, taken decisions regarding congestion, and finally it could be an initial step to help future predictions in linear megacities.

scholarly journals THE RELATION BETWEEN DRIVER BEHAVIOR AND INTELLIGENT TRANSPORT SYSTEM

2017 ◽  
Vol 12 ◽  
pp. 50
Author(s):  
Alica Kalašová ◽  
Simona Kubíková ◽  
Ján Kapusta
Keyword(s):  
Traffic Accidents ◽  
Motor Vehicle ◽  
Road Traffic ◽  
Positive Impact ◽  
Well Being ◽  
Transport Systems ◽  
Intelligent Transport System ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Alternative Routes

The main objective of Slovakia’s transport policy is to reduce the number of traffic accidents and increase safety on our roads. Implementation of intelligent transport systems presents one of the possibilities how to meet this goal. Acceptance of these systems by motor vehicle drivers and other road traffic participants is necessary in order for them to fulfill their purpose. Only if the drivers will accept intelligent transport systems, it is possible to flexibly and effectively manage road traffic flexibly and effectively. From the perspective of a driver it concerns, in particular, the possibility of using alternative routes when traffic accidents or other obstacles occurs on the route that would significantly affect the continuity and safety of road traffic. Thanks to these technologies, it is possible to choose the appropriate route while driving, of course based on the criterion, which the driver considers the most important during the transport from origin to destination (driving time, distance from origin to destination, fuel consumption, quality of infrastructure). Information isare provided to the driver through variable message signs or directly in the vehicle (RDS-TMC). Another advantage of intelligent transport systems is a positive impact on psychological well-being of the driver while driving. Additional information about the possible obstacles, weather conditions and dangerous situations that occur on the roads as well as alternative routes are provided to the driver well in advance. This paper is mainly focused on how the drivers perceive the influence of intelligent transport systems in Žilina region.

Improved Road Usage Through Congestion-Free Route Reservations

2017 ◽  
Vol 2621 (1) ◽  
pp. 71-80 ◽  
Author(s):  
Charalambos Menelaou ◽  
Stelios Timotheou ◽  
Panayiotis Kolios ◽  
Christos G. Panayiotou
Keyword(s):  
Traffic Congestion ◽  
Road Traffic ◽  
Critical Density ◽  
Control Mechanisms ◽  
Time Dimension ◽  
First Case ◽  
Alternative Routes ◽  
And Control ◽  
Road Traffic Congestion ◽  
Road Segments

Road traffic congestion occurs as demand exceeds the capacity of particular road segments. The consequences (including traveling delay, fuel consumption, and emission of pollutants) have a major impact on cities, thus interest for new and innovative solutions to the problem remain high despite great efforts that have been made to alleviate the problem. The recent literature has shown that better management and control mechanisms could significantly curb the effects. One such mechanism, in which route reservations are made across congestion-free road segments, is elaborated in this work. The proposed route reservation scheme assumes that vehicles communicate their origin–destination pairs to a controller that identifies and reserves road segments to be traversed in the space and time dimension. The scheme is mathematically formulated, and two algorithms with complementary objective functions are discussed. In the first case, vehicles are routed through road segments that do not exceed their critical density while travel time is minimized. In the second case, road segments below critical density are used while reservations are made in such a way as to balance traffic across the available alternative routes. Analytical and simulation results demonstrate the considerable benefits that can be realized by applying the proposed solutions.

A real-time push system on road traffic information

2014 ◽  
Author(s):  
Yang Xu ◽  
Zhang Zhenjiang ◽  
Liu Yun
Keyword(s):  
Real Time ◽  
Road Traffic ◽  
Traffic Information
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