Implementation of Spatial-Temporal Road Traffic Data using Agglomerative Clustering

2021 ◽  
Author(s):  
S. Senthilarasi ◽  
S. Kamalakkannan
Keyword(s):  
Road Traffic ◽  
Traffic Data ◽  
Agglomerative Clustering

scholarly journals Ant Colony Optimization for Real Time Traffic Lights Control on a Single Intersection

2020 ◽  
Vol 14 (02) ◽  
pp. 196 ◽  
Author(s):  
Nouha Rida ◽  
Mohammed Ouadoud ◽  
Aberrahim Hasbi
Keyword(s):  
Road Traffic ◽  
Green Light ◽  
Optimal Solution ◽  
Ant Colony ◽  
Traffic Data ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
Real Time Traffic ◽  
On The Road

In this paper, we present a new scheme to intelligently control the cycles and phases of traffic lights by exploiting the road traffic data collected by a wireless sensor network installed on the road. The traffic light controller determines the next phase of traffic lights by applying the Ant Colony Optimazation metaheuristics to the information collected by WSN. The objective of this system is to find an optimal solution that gives the best possible results in terms of reducing the waiting time of vehicles and maximizing the flow crossing the intersection during the green light. The results of simulations by the SUMO traffic simulator confirm the preference of the developed algorithm over the predefined time controller and other dynamic controllers.

scholarly journals Comparison between the risks in road safety behaviour in urban and rural areas in Latvia in 2016

2019 ◽  
Vol 68 ◽  
pp. 01008
Author(s):  
Aija Bukova-Zideluna ◽  
Anita Villerusa ◽  
Iveta Pudule
Keyword(s):  
Rural Areas ◽  
Road Safety ◽  
Urban Population ◽  
Road Traffic ◽  
Adult Population ◽  
Traffic Data ◽  
Front Seat ◽  
Back Seat ◽  
Urban And Rural Areas ◽  
Safety Behaviour

The study examined the differences between respondents in urban and rural areas in respect of their self-reported attitudes and behaviour regarding taking risks in road traffic. Data of Health Behaviour among Latvian Adult Population 2016 survey was used for analysis. Results: 83.7% (N=1605) of urban respondents and 86.7% (N = 1456) of rural respondents always used seatbelts in the front seat. Only 55.3% (N = 1605) of urban respondents and 52.1% (N = 875) of rural respondents always used seatbelts in the back seat. Odds to use seatbelts in the front seat were higher for rural population (OR = 1.27; 95% CI: 1.05–1.53). Odds to use seatbelts in the back seat were higher for urban population (OR=1.14; 95% CI: 1.01–1.30). Rural residents agreed more often with suggestion that it is not necessary to fasten the seatbelt on short journeys (OR = 1.42; 95% CI: 1.15–1.75) and that it is not necessary to fasten the seatbelt travelling at speed less than 40 km/h (OR=1.22; 95% CI: 1.01–1.56). Rural respondents agreed more often than urban respondents that that driving a car under alcohol influence increases a chance of being involved in an accident (OR = 1.45; 95% CI: 1.10–1.90).

Uniform location referencing standard for road traffic data in Thailand

2009 ◽  
Author(s):  
Nattapon Klakhaeng ◽  
Kannikar Siriwong Na Ayutaya ◽  
Monsak Socharoentum ◽  
Wasan Pattara-atikom
Keyword(s):  
Road Traffic ◽  
Traffic Data

scholarly journals KAJIAN TUNDAAN LALU LINTAS PADA SIMPANG BERSINYAL (Studi Kasus: Simpang Jl. Brigjen Sudiarto - Jl. Majapahit - Jl. Fatmawati Kota Semarang)

2020 ◽  
Vol 25 (1) ◽  
pp. 32
Author(s):  
Jayanti Rizqi Novianka P ◽  
Khrisna Dwi Hidayati ◽  
Supriyadi Supriyadi ◽  
Junaidi Junaidi
Keyword(s):  
Road Traffic ◽  
Secondary Data ◽  
Service Level ◽  
Traffic Volume ◽  
Degree Of Saturation ◽  
Traffic Data ◽  
Data Traffic ◽  
The Road ◽  
Geometric Conditions ◽  
Vehicle Data

Traffic volume in Semarang City has increased every year due to the increasing number of vehicles. Congestion that occurs at the T-junction intersection Jl. Brigjen Sudiarto - Jl. Majapahit is one of the impacts of high traffic growth and the traffic system is not functioning properly. By considering the geometric conditions of the road, traffic volume, side obstacles and the intersection environment which is a commercial area, it is necessary to analyze the cause of the congestion at the intersection. The research conducted was to conduct a field survey to obtain primary and secondary data which are then processed using intersection management. Planning uses the 1997 Indonesian Road Capacity Manual (MKJI) and uses the Excel 2013 program to process traffic data. Traffic data is obtained from recording the number of vehicles in the field for 3 days (April 29, 01 and May 4, 2019) during peak hours and presented in the form of a vehicle data table, then the behavior of the intersection can be analyzed. From the analysis results obtained value of the degree of saturation (DS) at the intersection of Jl. Brigjen Sudiarto - Jl. Majapahit 0.991. This value has exceeded the required value by the 1997 MKJI, DS ≤ 0.85. The analysis shows that the average traffic delay is 141,320 sec / pcu, so this intersection has a Service Level (LOS) F (> 60).

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