An adaptive observation site selection strategy for road traffic data assimilation

The shortest path between the start node and end node plays an important role in city’s road traffic network analysis system. The basic ant colony system algorithm which is a novel simulated evolutionary algorithm is studied to solve the shortest path problem. But the basic ant colony system algorithm is easy to run into the local optimum solution for shortest path. In order to solve the problem, the improved ant colony system algorithm is proposed. The improvement methods for selection strategy, local search, and information quantity modification of basic ant colony system are discussed in detail. The experiments are done in Beijing road network in China. The results of experiments show that comparing with the basic ant colony algorithm, the improved algorithm can easily converge at the global optimum for the shortest path.

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

International Journal of Interactive Mobile Technologies (iJIM) ◽

10.3991/ijim.v14i02.10332 ◽

2020 ◽

Vol 14 (02) ◽

pp. 196 ◽

Cited By ~ 1

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.

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

SHS Web of Conferences ◽

10.1051/shsconf/20196801008 ◽

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).

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