scholarly journals Research on Intelligent City Traffic Management System based on WEBGIS

2021 ◽  
Author(s):  
You Li ◽  
Hui Jin ◽  
Jie Hong ◽  
Chunmu He ◽  
Xianbing Wang
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Management System ◽  
Traffic Accidents ◽  
Urban Traffic ◽  
Traditional System ◽  
The Road ◽  
Intelligent City ◽  
Traffic Management System ◽  
Low Efficiency

Abstract Aiming at the problem that the traditional urban traffic management system can't effectively integrate the data, which leads to the low efficiency of data processing and the effect of traffic management, a smart city traffic management system based on WEBGIS is designed. Based on the traditional system, the dynamic traffic data acquisition hardware module is designed. According to the weekly similarity characteristics of traffic flow data, the traffic flow in different time periods is predicted and the road signal is controlled. The WEBGIS technology is used to deal with the traffic accidents, and the effective management of the urban traffic is realized. Simulation results show that the designed management system can effectively reduce the congestion of urban trunk roads and improve the efficiency of traffic management.

scholarly journals What are the challenges of pedestrian safety from the viewpoints of traffic and transport stakeholders? A qualitative Study

2020 ◽  
Author(s):  
Morteza Haghighi ◽  
Fatemeh Bakhtari Aghdam ◽  
Homayoun Sadeghi-Bazargani ◽  
Haidar Nadrian
Keyword(s):  
Traffic Management ◽  
Management System ◽  
Traffic Accidents ◽  
Holistic Approach ◽  
Pedestrian Safety ◽  
Urban Traffic ◽  
Vulnerable Groups ◽  
Individual Interviews ◽  
Wide Range ◽  
Traffic Management System

Abstract Background Pedestrians are among the most vulnerable groups in traffic accidents. Our aim in this study was to explore the challenges associated to pedestrian safety from the perspective of traffic and transport stakeholders. Methods In 2018, applying a qualitative approach, twenty-four traffic and transport stakeholders were invited to participate in semi-structured individual interviews in Tabriz, Iran. To analyze data, conventional content analysis approach was used. MAXQDA software version 11 was applied to manage data analysis process. Findings: Participants reported a wide range of challenges which were grouped into six categories: "Challenges related to pedestrians", "Challenges related to drivers", "Management system challenges", "Environmental infrastructure challenges", "Educational and media challenges", and "Challenges of legislation and enforcement". Conclusion We identified pedestrian safety as a challenging urban traffic and transport issue with specific complexities, particularly in the management system. With a holistic approach to the challenges, as discussed inside, all reported obstacles seem to be overshadowed by one core challenge, namely the lack of a traffic management system with health-oriented approach and enough authority. Using evidence while policy-making and intervention planning, as well as media support is recommended.

scholarly journals IMPROVING TRAFFIC FLOW AT INTERSECTION USING INTELLIGENT TRAFFIC MANAGEMENT SYSTEM

2020 ◽  
Vol 1 (2) ◽  
pp. 65-70
Author(s):  
Daniel Shunu
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Management System ◽  
Clustering Algorithm ◽  
Detection System ◽  
Control Agent ◽  
Traffic Light ◽  
Traffic Management System ◽  
Intersection Control ◽  
The Greedy Algorithm

In this study, a proposed intelligent traffic management system is presented making use of the wireless sensor network for improving traffic flow.  By making use of the clustering algorithm, VANET environment is utilized for the proposed system. The components of the proposed system include sensor node hardware, vehicle detection system through magnetometer, and UDP protocol for communication between the nodes. The intersection control agent receives the information about the vehicles and by making use of its algorithm, it dynamically changes the traffic light timings. By making use of the greedy algorithm, the system can be enhanced to a wider area by connecting multiple intersections.

Organization of non-traffic jam traffic at an intersection when cycle time and roadway width are limited

2020 ◽  
Keyword(s):  
Traffic Flow ◽  
Road Safety ◽  
Traffic Management ◽  
Road Network ◽  
Traffic Light ◽  
Maximum Capacity ◽  
Traffic Jam ◽  
The Road ◽  
Traffic Management System ◽  
Stop Line

In General, two problems need to be solved in the traffic management system: road safety and capacity. In this paper, it is proposed to use a calculated way to optimize the cycle of a traffic light object in order to ensure the maximum capacity of the node of the road network. The calculation method is based to determining the optimal ratio of the number of lanes intended for vehicle traffic and the duration of a cycle of the traffic light object. Keywords capacity, street and road network, traffic flow, stop line, width of the roadway

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