The application of geographic information system as an intelligent system towards emergency responses in road traffic accident in Ibadan

Abstract

Background: The high influx of private and public vehicles within global cities (including Ibadan) has resulted in traffic congestion within the city centre. Ibadan North-East, an urban local government area (LGA) within the metropolitan land area of Ibadan, has been experiencing automobile accidents and traffic congestion which in turn limits emergency responders.Objectives: The broad objective of the study was to develop a digital road network database for emergency response to road traffic accident, Ibadan North East, Nigeria.Methods: This study made use of primary and secondary data to generate spatial and non-spatial data. ArcGIS 10.3 was used to create the database, analyse data and display the results. Spatial search and network analysis were carried out using a kernel density estimated tool to generate a black-spot area within Ibadan North-East. Dijkstra’s shortest path algorithm in the ArcGIS Network Analysis was utilised to identify the closest health facility to the road traffic crash scene.Results: The most cost-effective haven introduced route impedance and is defined as the best route. Study findings show that dynamic distance varies from the best route to an alternative route. Also, kernel density estimation reveals that crashes widely occur in the northeastern and southwestern parts of Ibadan North-East (Iwo Road and Orita-Aperin). Incorporating live traffic data using GPS technology and traffic cameras was identified to enhance road traffic data documentation and safety.Conclusion: The study identifies GIS as a decision support system that is useful in the area of planning, mitigation, preparedness, response and recovery for decision-making in road traffic-related emergency management and emergency planning services in Ibadan.

Spatial Layout and Coupling of Urban Cultural Relics: Analyzing Historical Sites and Commercial Facilities in District III of Shaoxing

“…The processing of network analysis requires a primary network, including center, connection, node, and resistance [58,59]. We should first vectorize the obtained primary data and construct the network dataset to conduct network analysis.…”

Contribution of a Geographic Information System to the Prevention of Crashes Among Vulnerable Road Users in the City of Cotonou: Exploratory Study

“…9 In recent years, the use of a Geographic Information System (GIS) has improved understanding of the spatio-temporal distribution of crashes by mapping the most dangerous segments of the road network. [10][11][12][13][14][15][16][17][18] The tool offers the opportunity to retrospectively process large amounts of spatial and temporal information and is effective for identifying areas of high Risk Management and Healthcare Policy 2022:15 1271-1282 crash concentration, known as hotspots. 17,[19][20][21][22] A GIS is considered a tool to help prioritize interventions and efficiently allocate resources to improve road safety.…”

“…[10][11][12][13][14][15][16][17][18] The tool offers the opportunity to retrospectively process large amounts of spatial and temporal information and is effective for identifying areas of high Risk Management and Healthcare Policy 2022:15 1271-1282 crash concentration, known as hotspots. 17,[19][20][21][22] A GIS is considered a tool to help prioritize interventions and efficiently allocate resources to improve road safety. [11][12][13][14][15]23,24 The corrective measures for the causes of road crashes then involve changes in the built environment.…”

FastATDC: Fast Anomalous Trajectory Detection and Classification

“…An anomalous trajectory refers to a trajectory that differs locally or globally from most other normal ones when measured by some similarity metrics. Many ITS applications, such as fraud detection [7], emergency response [8], and urban network mapping [9], have the urgent need for anomalous trajectory detection. Over *This work was supported in part by the National Natural Science Foundation of China under grants 61873191 and 72074170, and in part by the Science and Technology Commission of Shanghai Municipality under grant 20JG0500200.…”