Towards Intelligent Road Traffic Management over Weighted Large Graphs Hybrid Meta-heuristic-Based Approach

This paper introduces a new approach of hybrid meta-heuristics based optimization technique for decreasing the computation time of the shortest paths algorithm. The problem of finding the shortest paths is a combinatorial optimization problem which has been well studied from various fields. The number of vehicles on the road has increased incredibly. Therefore, traffic management has become a major problem. We study the traffic network in large scale routing problems as a field of application. The meta-heuristic we propose introduces new hybrid genetic algorithm named IOGA. The problem consists of finding the k optimal paths that minimizes a metric such as distance, time, etc. Testing was performed using an exact algorithm and meta-heuristic algorithm on random generated network instances. Experimental analyses demonstrate the efficiency of our proposed approach in terms of runtime and quality of the result. Empirical results obtained show that the proposed algorithm outperforms some of the existing technique in term of the optimal solution in every generation.

Towards Intelligent Road Traffic Management Over a Weighted Large Graphs Hybrid Meta-Heuristic-Based Approach

This paper introduces a new approach of hybrid meta-heuristics based optimization technique for decreasing the computation time of the shortest paths algorithm. The problem of finding the shortest paths is a combinatorial optimization problem which has been well studied from various fields. The number of vehicles on the road has increased incredibly. Therefore, traffic management has become a major problem. We study the traffic network in large scale routing problems as a field of application. The meta-heuristic we propose introduces new hybrid genetic algorithm named IOGA. The problem consists of finding the k optimal paths that minimizes a metric such as distance, time, etc. Testing was performed using an exact algorithm and meta-heuristic algorithm on random generated network instances. Experimental analyses demonstrate the efficiency of our proposed approach in terms of runtime and quality of the result. Empirical results obtained show that the proposed algorithm outperforms some of the existing technique in term of the optimal solution in every generation.

An autonomous navigational system using GPS and computer vision for futuristic road traffic

Navigational service is one of the most essential dependency towards any transport system and at present, there are various revolutionary approaches that has contributed towards its improvement. This paper has reviewed the global positioning system (GPS) and computer vision based navigational system and found that there is a large gap between the actual demand of navigation and what currently exists. Therefore, the proposed study discusses about a novel framework of an autonomous navigation system that uses GPS as well as computer vision considering the case study of futuristic road traffic system. An analytical model is built up where the geo-referenced data from GPS is integrated with the signals captured from the visual sensors are considered to implement this concept. The simulated outcome of the study shows that proposed study offers enhanced accuracy as well as faster processing in contrast to existing approaches.

The Lord of the Ring Road: A Review and Evaluation of Autonomous Control Policies for Traffic in a Ring Road

This study focuses on the comprehensive investigation of stop-and-go waves appearing in closed-circuit ring road traffic wherein we evaluate various longitudinal dynamical models for vehicles. It is known that the behavior of human-driven vehicles, with other traffic elements such as density held constant, could stimulate stop-and-go waves, which do not dissipate on the circuit ring road. Stop-and-go waves can be dissipated by adding automated vehicles (AVs) to the ring. Thorough investigations of the performance of AV longitudinal control algorithms were carried out in Flow, which is an integrated platform for reinforcement learning on traffic control. Ten AV algorithms presented in the literature are evaluated. For each AV algorithm, experiments are carried out by varying distributions and penetration rates of AVs. Two different distributions of AVs are studied. For the first distribution scenario, AVs are placed consecutively. Penetration rates are varied from 1 AV (5%) to all AVs (100%). For the second distribution scenario, AVs are placed with even distribution of human-driven vehicles in between any two AVs. In this scenario, penetration rates are varied from 2 AVs (10%) to 11 AVs (50%). Multiple runs (10 runs) are simulated to average out the randomness in the results. From more than 3,000 simulation experiments, we investigated how AV algorithms perform differently with varying distributions and penetration rates while all AV algorithms remained fixed under all distributions and penetration rates. Time to stabilize, maximum headway, vehicle miles traveled, and fuel economy are used to evaluate their performance. Using these metrics, we find that the traffic condition improvement is not necessarily dependent on the distribution for most of the AV controllers, particularly when no cooperation among AVs is considered. Traffic condition is generally improved with a higher AV penetration rate with only one of the AV algorithms showing a contrary trend. Among all AV algorithms in this study, the reinforcement learning controller shows the most consistent improvement under all distributions and penetration rates.

Management of Comminuited Intra/Juxta Articular Fracture of Distal Radius Using Bridging External Fixator

Background: Distal radius fractures are the third most common osteoporotic fractures and are frequently treated in emergency department. They have a trimodal peak of occurrence and there has been a significant increase in incidence of involvement in elderly females and young males. Management of these fractures comes with lots of treatment options and challenges to provide good functional outcome. This prospective study was done for the management of communited intra/juxta articular fractures of distal end radius using a bridging external fixator on 25 patients. The principle of ligamentotaxis was used for alignment of fracture fragments and wrist spanning external fixator was used to maintain the fracture reduction.Methods:25 patients of either sex with age group 16 to 80 years were taken from the orthopedic department. After proper primary care, cases were classified using Fernandez classification, and posted for surgery as soon as investigations and fitness were taken.Results:Patients involved in the study were in range of 16 to 78 years with 16 patients having dominant side with road traffic accident as leading cause.Radiological union was seen at an average of 7.3 weeks, 4 patients had superficial pin tract infection, 3 patients had stiffnes and a single case had malunion. Conclusions:Modified clinical scoring system of Green and O’Brien was used to evaluate the overall functional results which showed excellent to good results in 84% of cases. Hence, properly planned and executed bridging external fixator is an easy, cost-effective and reliable treatment modality through the “Principle of Ligamentotaxis”.

Profile of ocular injuries amongst various trauma patients presenting to tertiary care centre of Punjab

To study the epidemiology and clinical profile of ocular trauma patients presenting to tertiary care centre. Prospective study. All patients of ocular trauma in OPD/Emergency were assessed for detail between 1/1/17 to 31/6/18 and data on demographic profile was established as per guidelines of Ocular Trauma Society of India. Patients were categorized in different segments and assessed/followed for visual impairment in particular. A total of 246 cases were examined out of which 87% were males. The most common mode of ocular injury was Road Traffic Accidents. Pediatric eye trauma constituted 16.7% of the total cases. 26.8% cases arrived to our centre between 4-24 hours and 62.6% cases presented after 24 hours. Amongst 131 cases of Road Traffic Accidents, none of them were using protective measures like helmets or goggles. Of these, 17.1% were under the influence of alcohol. 28.5% were involved in medicolegal proceedings. Majority of the cases comprised of monocular trauma (78.1%). Closed globe injuries constituted 88.94% of the total cases of which most cases presented with lid edema and ecchymosis. Chemical injuries were reported in 4.5% cases. 9 patients lost vision completely and 71 cases had vision from light perception to 6/18. Ocular trauma is one of the common causes of ocular morbidity. It has been seen predominantly in male population. Public needs to be educated about safety measurements and education about prompt need to specialised care to reduce ocular trauma related visual morbidity.

Epidemiology of surgically managed traumatic brain injury patients

Traumatic brain injury (TBI) constitutes a major health and socioeconomic problem throughout the world TBI is called the ‘silent epidemic’ because problems resulting from TBI are often not immediately visible and TBI patients are not very vociferous. Epidemiological studies of TBI are essential to the targeted prevention and effective treatment of brain-injured patients. Epidemiology analysis of surgically managed traumatic brain injury patients was done. Mean age was 35.9 years. Males were more commonly (80%) involved than females (20%). In 57.5% of cases, falls were responsible for TBI and in 42.5% of cases, Road traffic accidents were responsible. Edh was the most common type of TBI in (50%). Chronic SDH occurred in 25% of cases. Acute SDH and Contusions were both seen in 13.75% of cases. Depressed fractures occurred in 6.25% of cases and ICH occurred in 1.25% of cases. Craniotomy was the most common (42%) surgical procedure performed, followed by burrhole drainage (22.5%). Decompressive craniectomy was done in 18.75% of cases and elevation of depressed fracture was performed in 6.25% of cases. Traumatic brain injury (TBI) constitutes a major health and socioeconomic problem throughout the world. People of all ages are affected by it. Males are more commonly involved as compared to females. Timely hospitalisation and surgical management whenever indicated improves the survival.