scholarly journals A New Approach of Smart Mobility for Heavy Goods Vehicles in Casablanca

2021 ◽  
Author(s):  
Mohammed Mouhcine Maaroufi ◽  
Laila Stour ◽  
Ali Agoumi
Keyword(s):  
Environmental Sustainability ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Road Traffic ◽  
Smart Cities ◽  
Research Work ◽  
Transport Infrastructure ◽  
Transport Systems ◽  
Smart Mobility ◽  
Heavy Goods Vehicles

Managing mobility, both of people and goods, in cities is a thorny issue. The travel needs of urban populations are increasing and put pressure on transport infrastructure. The Moroccan cities are no exception and will struggle, in the short term, to respond to the challenges of the acceleration of the phenomenon of urbanization and the increase in demand for mobility. This will inevitably prevent them from turning into smart cities. The term smart certainly alludes to better use of technologies, but smart mobility is also defined as “a set of coordinated actions intended to improve the efficiency, effectiveness and environmental sustainability of cities” [1]. The term mobility highlights the preponderance of humans over infrastructure and vehicles. Faced with traffic congestion, the solutions currently adopted which consist of fitting out and widening the infrastructures, only encourage more trips and report the problem with more critical consequences. It is true that beyond a certain density of traffic, even Intelligent Transport Systems (ITS) are not useful. The concept of dynamic lane management or Advanced Traffic Management (ATM) opens up new perspectives. Its objective is to manage and optimize road traffic in a variable manner, in space and in time. This article is a summary of the development of a road infrastructure dedicated to Heavy Goods Vehicles (HGV), the first of its kind in Morocco. It aims to avoid the discomfort caused by trucks in the urban road network of the city of Casablanca. This research work is an opportunity to reflect on the introduction of ITS and ATM to ensure optimal use of existing infrastructure before embarking on heavy and irreversible infrastructure projects.

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 a procedure for adapting a model of adjustable intersection

2020 ◽  
Vol 17 (6) ◽  
pp. 726-735
Author(s):  
I. A. Novikov ◽  
A. G. Shevtsova ◽  
A. A. Kravchenko ◽  
A. G. Burlutskaia
Keyword(s):  
Traffic Management ◽  
Road Traffic ◽  
Transport Model ◽  
Optimal Solution ◽  
Cost Effective ◽  
Transport Processes ◽  
Transport Infrastructure ◽  
Transport Systems ◽  
Software Environment ◽  
Software Products

Introduction. The article is devoted to the development of an algorithm for checking the assessment of the adequate operation of the transport model and the application of this algorithm in practice.The research has been carried out at a regulated intersection in Belgorod, the main parameters necessary for creating a transport model have been determined. A transport model of the investigated intersection was created, an assessment of the adequate operation of the model was made, measures were proposed to increase the capacity of the investigated section of the road network.Methods and materials. The main attention is paid to the use of the software that allows simulating transport processes at the initial stages of activities related to the organization or reorganization of road traffic. Simulation is a fast, convenient and cost-effective way to assess the effectiveness of traffic management. The modeling process helps to select the most optimal solution for the transport infrastructure.Results. The authors have developed the algorithm for checking the adaptation of the controlled crossing model in the Aimsun software environment, and proposed a new coordination plan for crossing. Conclusion. It is concluded that it is necessary to use the software products intended for modeling transport systems.

scholarly journals A Back-of-Queue Model of a Signal-Controlled Intersection Approach Developed Based on Analysis of Vehicle Driver Behavior

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1204
Author(s):  
Elżbieta Macioszek ◽  
Damian Iwanowicz
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Energy Savings ◽  
New Technologies ◽  
Road Traffic ◽  
Smart Cities ◽  
Data Gathering ◽  
Transport Systems ◽  
Practical Applications ◽  
On The Road

In smart cities, it is expected that transport, communication as well as the movement of people and goods will take place in the shortest possible time while maintaining a high level of safety. In recent years, due to the significant increase in the number of passengers and vehicles on the road and the capacity limitations of transport networks, it has become necessary to use new technologies for intelligent control and traffic management. Intelligent transport systems use advanced technologies in the field of data gathering, information processing, and traffic control to meet current transport needs. To be able to effectively control and manage road traffic, it is necessary to have reliable mathematical models that allow for a faithful representation of the real traffic conditions. Models of this type are usually the basis of complex algorithms used in practice in road traffic control. The application of appropriate models reflecting the behavior of road users contributes to the reduction of congestion, the vehicles travel time on the transport network, fuel consumption and the emissions, which in turn support broadly understood energy savings. The article proposes a model that allows for the estimation of the maximum queue size at the signal-controlled intersection approach (so-called: maximum back-of-queue). This model takes into account the most important traffic characteristics of the vehicles forming this queue. The verification allowed for the conclusion that the proposed model is characterized by high compliance with the actual traffic and road conditions at the intersections with signal controllers located in built-up areas in Poland. The obtained compliance confirms the possibility of using the model for practical applications in calculating the maximum back-of-queue at signal-controlled intersections located in built-up areas in Poland.

Proposed Simple System for Road Traffic Counting

2019 ◽  
Vol 9 (2) ◽  
pp. 269-277 ◽  
Author(s):  
Ahmad A.A. Alkhatib ◽  
Adnan Hnaif ◽  
Tarek Kanan
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Road Traffic ◽  
Transport Systems ◽  
Location Information ◽  
Limited Capacity ◽  
Infrared Sensors ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
New System

Background & Objective: Traffic congestion is a burning issue in most countries due to the rapid growth of running vehicles and infrastructures with limited capacity. Congestion can be solved with Intelligent Transport Systems (ITS) and traffic management. Most traffic management measurement are aimed to improve the safety and flow of traffic, reduce traffic emissions and utilize traffic artery capacity more effectively. Methods: This paper proposes a new system to collect the required data for traffic management such as, number of vehicles, time and lane location information; using a cheap infrared sensors and timers. Conclusion: The proposed method can take the length of the vehicle into account of traffic statistics by measuring the car speed.

scholarly journals Advances in lane marking detection algorithms for all-weather conditions

2021 ◽  
Vol 11 (4) ◽  
pp. 3365
Author(s):  
Hadhrami Ab Ghani ◽  
Rosli Besar ◽  
Zamani Md Sani ◽  
Mohd Nazeri Kamaruddin ◽  
Syabeela Syahali ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Road Traffic ◽  
Research Work ◽  
General System ◽  
Weather Conditions ◽  
Lane Detection ◽  
Transport Systems ◽  
Detection Algorithms ◽  
Lane Marking ◽  
Angle Method

Driving vehicles in all-weather conditions is challenging as the lane markers tend to be unclear to the drivers for detecting the lanes. Moreover, the vehicles will move slower hence increasing the road traffic congestion which causes difficulties in detecting the lane markers especially for advanced driving assistance systems (ADAS). Therefore, this paper conducts a thorough review on vision-based lane marking detection algorithms developed for all-weather conditions. The review methodology consists of two major areas, which are a review on the general system models employed in the lane marking detection algorithms and a review on the types of weather conditions considered for the algorithms. Throughout the review process, it is observed that the lane marking detection algorithms in literature have mostly considered weather conditions such as fog, rain, haze and snow. A new contour-angle method has also been proposed for lane marker detection. Most of the research work focus on lane detection, but the classification of the types of lane markers remains a significant research gap that is worth to be addressed for ADAS and intelligent transport systems.

scholarly journals AN EFFICIENT INTELLIGENT TRAFFIC LIGHT CONTROL AND DEVIATION SYSTEM FOR TRAFFIC CONGESTION AVOIDANCE USING MULTI-AGENT SYSTEM

Transport ◽  
2019 ◽  
Vol 35 (3) ◽  
pp. 327-335 ◽  
Author(s):  
Rajendran Sathiyaraj ◽  
Ayyasamy Bharathi
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Ad Hoc ◽  
Road Traffic ◽  
Smart Cities ◽  
Multi Agent System ◽  
Traffic Light ◽  
Traffic Light Control ◽  
Multi Agent ◽  
Hoc Networks

An efficient and intelligent road traffic management system is the corner stone for every smart cities. Vehicular Ad-hoc NETworks (VANETs) applies the principles of mobile ad hoc networks in a wireless network for Vehicle-to-vehicle data exchange communication. VANETs supports in providing an efficient Intelligent Transportation System (ITS) for smart cities. Road traffic congestion is a most common problem faced by many of the metropolitan cities all over the world. Traffic on the road networks are widely increasing at a larger rate and the current traffic management systems is unable to tackle this impediment. In this paper, we propose an Efficient Intelligent Traffic Light Control and Deviation (EITLCD) system, which is based on multi-agent system. This proposed system overcomes the difficulties of the existing traffic management systems and avoids the traffic congestion problem compare to the prior scenario. The proposed system is composed of two systems: Traffic Light Controller (TLC) system and Traffic Light Deviation (TLD) system. The TLC system uses three agents to supervise and control the traffic parameters. TLD system deviate the vehicles before entering into congested road. Traffic and travel related information from several sensors are collected through a VANET environment to be processed by the proposed technique. The proposed structure comprises of TLC system and makes use of vehicle measurement, which is feed as input to the TLD system in a wireless network. For route pattern identification, any traditional city map can be converted to planar graph using Euler’s path approach. The proposed system is validated using Nagel–Schreckenberg model and the performance of the proposed system is proved to be better than the existing systems in terms of its time, cost, expense, maintenance and performance.

scholarly journals Striving for smart mobility in Morocco: a case of lanes designated to heavy goods vehicles in Casablanca

2021 ◽  
Vol 13 (1) ◽  
pp. 74-88
Author(s):  
Mohammed Mouhcine Maaroufi ◽  
Laila Stour ◽  
Ali Agoumi
Keyword(s):  
Traffic Safety ◽  
Traffic Management ◽  
Efficient Solutions ◽  
Optimal Operation ◽  
Urban Traffic ◽  
Traffic Information ◽  
Transport Systems ◽  
Sustainable Mobility ◽  
Smart Mobility ◽  
Heavy Goods Vehicles

Abstract This article highlights the need to rethink how to manage mobility in Morocco more intelligently, given that it is a major pillar of economic competitiveness. Smart mobility based on Intelligent Transport Systems (ITS) allows to improve and ensure the optimal use of existing infrastructure before embarking on heavy and irreversible infrastructure projects. The case regarding the separation of the urban traffic and the Heavy Goods Vehicles (HGV) traffic circulating between Casablanca Port and Zenata Dry Port is a relevant example where smart mobility could provide efficient solutions without building costly tunnels. A dynamic simulation was made using the Aimsun software to quantify the relevance of the proposed lane designated to HGV in the existing road. This simulation allows to visualise congestion sections and quantify the circulation of vehicles and pedestrians. The article presents defined functions and characteristics of the Advanced Traffic Management (ATM) to ensure the optimal operation and efficient setting of the simulation. All appliances, hardware, and sensors that will be set up on-site will help to improve traffic safety, traffic flow, traffic information, and reduce congestion and pollution. This case study illustrates the complexity of managing the flow of goods in cities and suggests how to solve this type of problems using smart mobility. This research proposes reserving a special lane for HGV. ITS will help this cost-optimal alternative, will promote the urban framework of the coastal road, and contribute to sustainable mobility in Casablanca.

scholarly journals Formation of the Traffic Flow Rate under the Influence of Traffic Flow Concentration in Time at Controlled Intersections in Tyumen, Russian Federation

2021 ◽  
Vol 13 (15) ◽  
pp. 8324
Author(s):  
Viacheslav Morozov ◽  
Sergei Iarkov
Keyword(s):  
Traffic Flow ◽  
Flow Rate ◽  
Traffic Congestion ◽  
Traffic Management ◽  
System Analysis ◽  
Motor Vehicle ◽  
Experimental Studies ◽  
Transport Systems ◽  
Experiment Planning ◽  
Traffic Light

Present experience shows that it is impossible to solve the problem of traffic congestion without intelligent transport systems. Traffic management in many cities uses the data of detectors installed at controlled intersections. Further, to assess the traffic situation, the data on the traffic flow rate and its concentration are compared. Latest scientific studies propose a transition from spatial to temporal concentration. Therefore, the purpose of this work is to establish the regularities of the influence of traffic flow concentration in time on traffic flow rate at controlled city intersections. The methodological basis of this study was a systemic approach. Theoretical and experimental studies were based on the existing provisions of system analysis, traffic flow theory, experiment planning, impulses, probabilities, and mathematical statistics. Experimental data were obtained and processed using modern equipment and software: Traficam video detectors, SPECTR traffic light controller, Traficam Data Tool, SPECTR 2.0, AutoCad 2017, and STATISTICA 10. In the course of this study, the authors analyzed the dynamics of changes in the level of motorization, the structure of the motor vehicle fleet, and the dynamics of changes in the number of controlled intersections. As a result of theoretical studies, a hypothesis was put forward that the investigated process is described by a two-factor quadratic multiplicative model. Experimental studies determined the parameters of the developed model depending on the directions of traffic flow, and confirmed its adequacy according to Fisher’s criterion with a probability of at least 0.9. The results obtained can be used to control traffic flows at controlled city intersections.

scholarly journals Enabling Technologies for Urban Smart Mobility: Recent Trends, Opportunities and Challenges

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2143
Author(s):  
Sara Paiva ◽  
Mohd Abdul Ahad ◽  
Gautami Tripathi ◽  
Noushaba Feroz ◽  
Gabriella Casalino
Keyword(s):  
Traffic Congestion ◽  
Autonomous Vehicles ◽  
City Planning ◽  
Smart Cities ◽  
The Sustainable Development ◽  
Current Trends ◽  
Enabling Technologies ◽  
Entry Points ◽  
Development Goals ◽  
Smart Mobility

The increasing population across the globe makes it essential to link smart and sustainable city planning with the logistics of transporting people and goods, which will significantly contribute to how societies will face mobility in the coming years. The concept of smart mobility emerged with the popularity of smart cities and is aligned with the sustainable development goals defined by the United Nations. A reduction in traffic congestion and new route optimizations with reduced ecological footprint are some of the essential factors of smart mobility; however, other aspects must also be taken into account, such as the promotion of active mobility and inclusive mobility, encouraging the use of other types of environmentally friendly fuels and engagement with citizens. The Internet of Things (IoT), Artificial Intelligence (AI), Blockchain and Big Data technology will serve as the main entry points and fundamental pillars to promote the rise of new innovative solutions that will change the current paradigm for cities and their citizens. Mobility-as-a-service, traffic flow optimization, the optimization of logistics and autonomous vehicles are some of the services and applications that will encompass several changes in the coming years with the transition of existing cities into smart cities. This paper provides an extensive review of the current trends and solutions presented in the scope of smart mobility and enabling technologies that support it. An overview of how smart mobility fits into smart cities is provided by characterizing its main attributes and the key benefits of using smart mobility in a smart city ecosystem. Further, this paper highlights other various opportunities and challenges related to smart mobility. Lastly, the major services and applications that are expected to arise in the coming years within smart mobility are explored with the prospective future trends and scope.

scholarly journals DEVELOPING A 3D ROAD CADASTRAL SYSTEM: COMPARING LEGAL REQUIREMENTS AND USER NEEDS

2016 ◽  
Vol IV-2/W1 ◽  
pp. 223-231 ◽  
Author(s):  
S. Gristina ◽  
C. Ellul ◽  
A. Scianna
Keyword(s):  
Traffic Management ◽  
Geographical Information Systems ◽  
Smart Cities ◽  
High Standard ◽  
Digital Data ◽  
Geographical Information ◽  
Transport Systems ◽  
Road Maintenance ◽  
3D Gis ◽  
Complete Life Cycle

Road transport has always played an important role in a country’s growth and, in order to manage road networks and ensure a high standard of road performance (e.g. durability, efficiency and safety), both public and private road inventories have been implemented using databases and Geographical Information Systems. They enable registering and managing significant amounts of different road information, but to date do not focus on 3D road information, data integration and interoperability. In an increasingly complex 3D urban environment, and in the age of smart cities, however, applications including intelligent transport systems, mobility and traffic management, road maintenance and safety require digital data infrastructures to manage road data: thus new inventories based on integrated 3D road models (queryable, updateable and shareable on line) are required. This paper outlines the first step towards the implementation of 3D GIS-based road inventories. Focusing on the case study of the “Road Cadastre” (the Italian road inventory as established by law), it investigates current limitations and required improvements, and also compares the required data structure imposed by cadastral legislation with real road users’ needs. The study aims to: a) determine whether 3D GIS would improve road cadastre (for better management of data through the complete life-cycle infrastructure projects); b) define a conceptual model for a 3D road cadastre for Italy (whose general principles may be extended also to other countries).

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