Real-Time Traffic Patrol Allocation for Abu Dhabi Emirate (UAE)

Al-Harthei, Hussain; Ali, Ben; Garib, Atef M.

doi:10.12720/jtle.1.1.64-68

Cited by 4 publications

(4 citation statements)

References 6 publications

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“…Visibility is also known in quantitative terminology as the visual range [4]. Good visibility, the ability to see and recognize objects situated on the ground at more than 5.0 km distance, is essential for the safety of all transport sectors including ground, air, and maritime [5][6][7][8][9][10][11][12]. Moreover, visibility can reflect changes in meteorological and air quality conditions and their impact on human health [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Long-Term Variability of Poor Visibility Events in the UAE and the Link with Climate Dynamics

Aldababseh

Temimi

2017

Atmosphere

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Abstract:The goal of this study is to investigate the variability of poor visibility events occurring hourly in the UAE and their relationship to climate dynamics. Hourly visibility observation data spanning more than three decades from ten stations across the country were used. Four intervals of low visibility, between 0.10 km and 5.0 km, were considered. Poor visibility records were analyzed under wet and dry weather conditions. The Mann-Kendall test was used to assess the inferred trends of low visibility records. The relationships between poor visibility measurements and associated meteorological variables and climate oscillations were also investigated. Results show that Fujairah city has the highest average visibility values under wet weather conditions, while Abu Dhabi city has the lowest average visibility values under both wet and dry conditions. Wet weather conditions had a greater impact than dry weather conditions on visibility deterioration in seven out of the ten stations. Results confirm that fog and dust contribute significantly to the deterioration of visibility in the UAE and that Abu Dhabi has been more impacted by those events than Dubai. Furthermore, the numbers of fog and dust events show steep increasing trends for both cities. A change point in poor visibility records triggered by fog and dust events was detected around the year 1999 at Abu Dhabi and Dubai stations after the application of the cumulative sum method. Increasing shifts in the means and the variances were noticed in the total annual fog events when Student's t-test and Levene's test were applied. In Abu Dhabi, the mean annual number of dust events was approximately 112.5 before 1999, increasing to 337 dust events after 1999. In Dubai, the number of dust events increased from around 85.5 to 315.6 events. The inferred fog and dust trends were compared to four climate indices. Results showed a significant correlation (positive and negative) between four climate indices and the occurrence of fog and dust events in the UAE.

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Section: Introductionmentioning

confidence: 99%

Analysis of the Long-Term Variability of Poor Visibility Events in the UAE and the Link with Climate Dynamics

Aldababseh

Temimi

2017

Atmosphere

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“…Constraint (4) ensures that at time t, sensors located in nodes i and j can be connected as long as a sensor is allocated to i. Constraint (5) declares that at time t, if a link is available between node j and one of the previous nodes, another link will be available between node j and one of the next nodes. Constraint (6) guarantees that one link starts at the corridor's start node (i') while constraint (7) guarantees that one link terminates at the corridor's end node (j').…”

Section: Mathematical Modelmentioning

confidence: 99%

“…Safety models: These models evaluate the crash risk on the basis of the layout of the road, In this paper, traffic flow models are studied to describe the behavior of traffic system. One of the ways of controlling and monitoring highways is direct police surveillance over highways' length [3], [4], which is an expensive task. Another way is to use sensor technology [5] which is the subject matter of this paper.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Robust Optimization for the Traffic Sensors Location Problem

Fakhouri

Soltani

2021

IEEE Access

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“…Liu et al [34] used the genetic algorithm to obtain the best place for police patrol stations and then with the combination of genetic algorithm and graph theory, the model has been developed to allocate traffic patrols. Hussein Al-Harthei et al [1] presented a new approach based on the combination of advanced technologies such as artificial intelligence and Geographical information system that can be used to develop, implement, and testing of police patrols allocation in different locations. Li et al [33] defined a measure of how much the development of traffic patrols are appropriate.…”

Section: Introductionmentioning

confidence: 99%

Location-allocation of traffic police patrols in the suburban network

poor

Sabouhi

Bozorgi-Amiri

et al. 2019

IJOR

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Nowadays, due to population increase and expansion of the transportation networks, the monitoring of this network, control, and prevention of accidents and crimes are very important. The main tasks of traffic patrols, like other emergency-security facilities, are the monitoring and prevention of crime as well as handling and fining in the case of committing crimes. Traffic patrols should be present in the scene and also in high traffic congestion, to reduce accidents and crimes. This paper presents a bi-objective and stochastic optimization model to design an emergency-security system. This network includes traffic patrol vehicles and manpower in patrol vehicles. The objective of the proposed model is to maximize the number of vehicles passing through patrols and minimize the costs according to different scenarios. To solve the model, the epsilonconstraint method is used which simultaneously determines the location of the patrols, allocation of demand points to patrols, and determining the number of existing manpower in patrols. To evaluate and analyze the proposed model, a numerical example is used.

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Real-Time Traffic Patrol Allocation for Abu Dhabi Emirate (UAE)

Cited by 4 publications

References 6 publications

Analysis of the Long-Term Variability of Poor Visibility Events in the UAE and the Link with Climate Dynamics

Analysis of the Long-Term Variability of Poor Visibility Events in the UAE and the Link with Climate Dynamics

Multi-Objective Robust Optimization for the Traffic Sensors Location Problem

Location-allocation of traffic police patrols in the suburban network

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