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The predetermined gear shift points in the type approval test for the European Union (NEDC - New European Driving Cycle) influence the technical design of today's vehicles with manual transmission significantly. Most manufacturers select a long total gear ratio to achieve fuel savings by down speeding. The effects of the final drive ratio on improving fuel consumption in real customer driving, and...
Every year the amounts of deaths and injuries are increasing in traffic accidents due to human errors. Drowsiness and driving is a very hazardous and it is very difficult to identify. After alcohol drowsiness is the second leading cause of the road accidents. People are conscious about the risk of drinking and driving but don't realize the dangerous of drowsiness because no instruments exist to measure...
Hereby an optimal travel path planning and real time forecasting method based on ant colony optimization (ACO) algorithm was proposed. The travel path node network model is established according to the starting position and the destination, and then the shortest time or shortest path planning initial program can be obtained. The optimal travel path is calculated quickly by ACO with the real time traffic...
Video sensors constitute a great innovation in the automotive sector and road safety as they contribute to the development of driver assistance systems. These video systems use image processing techniques to inform drivers of impending dangers. One such development is the Lane Departure Warning System (LDWS) which play a key role in the prevention from accidents. The main function of this system is...
This paper presents the SAGA toolbox. It centers around development of tests, and analysis of test results, on Guarded Assertions (GA) format. Such a test defines when to test, and what to expect in such a state. The SAGA toolbox lets the user describe the test, and at the same time get immediate feedback on the test result based on a trace from the System Under Test (SUT). The feedback is visual...
Unintended lane departure accidents are due to driver's inattention, incapacitation, and drowsiness. Lane departure warning systems have been developed to enhance traffic safety by predicting/detecting driving situation and alerting drivers to avoid or mitigate traffic accidents. This paper explores effectiveness of a three-layer perceptron neural network in predicting an unintentional lane departure,...
Greenhouse gas emission by the increasing number of vehicles have become a significant problem in modern cities. To save energy and protect environment, recommending fuel-efficient routes to drivers becomes a promising way to alleviate this issue. To this end, in this paper, we present a novel fuel-efficient path-planning framework called GreenPlanner, which contains two phases. In the first phase,...
As India is progressing so the infrastructure as well as the transportation such as roads, technologies are also developing. The transportation plays a vital role in Indian economy. As we know many people have lost their lives in the accident. So managing the lane system on the road for the vehicles is very important. We can provide safety by using the lane detection system and also guide people for...
The traffic sign detection and recognition is an integral part of Advanced Driver Assistance System (ADAS). Traffic signs provide information about the traffic rules, road conditions and route directions and assist the drivers for better and safe driving. Traffic sign detection and recognition system has two main stages: The first stage involves the traffic sign localization and the second stage classifies...
An emerging technology to enhance smart transportation is Vehicular Ad hoc Network (VANET) where vehicles are treated as nodes. It communicates with fixed road landed infrastructure (RSU) and other vehicles via onboard unit (OBU). Efficient and reliable information dissemination among the vehicles in sparse environment is still challenging. Also finding a shortest path from source to destination is...
This article deals with the creation of control algorithm for locking differential of the truck. This algorithm is based on assumptions of the ZF ADM — Automatic Drive-Train Management system and it is created using software Simulink-Stateflow. The article describes the function of algorithm and its application to the computational model of vehicle with 8×8 drive. In conclusion, a simulation of driving...
We proposed and developed a taxi-sharing system that accepts taxi passengers' real-time ride requests sent from smart phones and schedules proper taxis to pick up them via ride sharing, subject to time, capacity, and monetary constraints. The monetary constraints provide incentives for both passengers and taxi drivers: passengers will not pay more compared with no ridesharing and get repayment if...
Vehicular ad hoc network is widely used to broadcast emergency, weather and road conditions among vehicles. In this paper, an algorithm is proposed to transmit weather information to the vehicles which are travelling in urban areas. The system uses a set of algorithms and rules to determine dangerous weather situation on roads. It is proposed to use Weather_Forecast algorithm to predict the weather...
This study is concerned with the higher order macroscopic traffic flow modeling and simulation of traffic flow on junctions. More precisely, we deal with a generic class of second order models, known in the literature as the GSOM family which embeds a large variety of traffic models. While classical approaches focus on the Eulerian point-of-view, here we recast the model using its Lagrangian coordinates...
The number of on-road vehicles has increased by almost 140% over the past decade, thereby increasing pollution levels, congestion and fuel consumption. To contain such a situation, Vehicular Ad-Hoc Network (VANET) technology is almost on the verge of large scale practical deployment. Hence, the aim is to provide a system to control the above using VANET and to provide an infrastructure to reduce the...
Rash driving is one of the primary reasons for road fatalities. However, the existing literature seldom talks about precise quantitative measures to assess behaviors like rash driving during traffic analytics. Moreover, the subjective factors like broken road patches, high peak bumps (or some time known as speed breakers in some countries), poor night illumination etc. have not been taken into consideration...
This article describes a method of obtaining image with orthographic top view from a usual perspective image with the rear view of the around view systems in vehicles. This method is close to bilinear interpolation method by its algorithmic part, but differs in that the interpolation is not performed in the perpendicular direction, and special smoothing values are calculated for some of pixels. We...
Driver evaluation and performance monitoring is crucial for safety and risk assessment. This paper proposes a novel algorithm for evaluating driver performance using vehicle state data. This indirect method of evaluation has the advantage of being unobtrusive and cheap as it uses only the easily accessible real time vehicle data. The proposed algorithm can eliminate subjectivity and automate the evaluation...
Identifying the feature of road line accurately is one of the most important things helps the smart driving assistant system operate effectively. So, we propose a new method to estimate the lane curvature. The method bases on the information from radar of stationary objects and target vehicle head in order to calculate the lane curvature parameter. At first, we introduce the lane curvature parameter...
Automated Planning can be fruitfully exploited as a Decision Support toolkit that, given a specification of available actions (elementary decisions to be taken), an initial situation and goals to be achieved, generates a plan that represents a (partially ordered) sequence of such elementary decisions that once performed the required goals are achieved. Road Traffic Accident Management is a life-critical...
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