Predicting crash injury severity is a crucial constituent of reducing the consequences traffic crashes. This study developed machine learning (ML) models to predict using 15 crash-related parameters. Separate ML for each cluster were obtained fuzzy c-means, which enhanced predicting capability. Finally, four developed: feed-forward neural networks (FNN), support vector (SVM), C-means clustering based network (FNN-FCM), and c-means (SVM-FCM). Features that easily identified with little...

Vehicle automation and communication technologies are considered promising approaches to improve operational driving behavior. The expected gradual implementation of autonomous vehicles (AVs) shortly will cause unique impacts on the traffic flow characteristics. This paper focuses reviewing under a mixed environment AVs regular (RVs) considering different AV includes policy implication discussion for possible actual future practice research interests. has positive flow, such as improved...

Many unfortunate victims in road traffic crashes do not receive ideal treatment because their injury severity is understood at an early stage. Swift crash prediction enables trauma and emergency centers to estimate the potential damage resulting from a accordingly dispatch proper units provide appropriate treatment. A two-layer ensemble machine learning model proposed this study predict severity. The first layer integrates four base models: k-nearest neighbor, decision tree, adaptive...

The recent advancement in industrial technology has offered new opportunities to overcome different problems of stochastic driving behavior humans through effective implementation autonomous vehicles (AVs). Optimum utilization and advanced capabilities the AVs enabled researchers propose cooperative-based methods for signalized intersection control under an AV traffic environment. In future, will share road networks with regular (RVs), representing a dynamic mixed environment two groups...

In many countries, the most widely used method for timing plan selection and implementation is time-of-day (TOD) method. TOD mode, a few traffic patterns that exist in historical volume data are recognized to find signal plans needed achieve optimum performance of intersections during day. Traffic engineers usually determine breakpoints by analyzing 1 or 2 days worth relying on their engineering judgment. The current statistical methods, such as hierarchical K-means clustering but introduce...

Summary Logit model is one of the statistical techniques commonly used for mode choice modeling, while artificial neural network (ANN) a very popular type intelligence technique modeling. Ensemble learning has evolved to be effective approach enhance performance many applications through integration different models. In spite this advantage, use ANN‐based ensembles in modeling under explored. The focus study investigate aforementioned number transportation modes and predictor variables. This...

Recently, Variable Message Signs (VMS) were introduced in Saudi Arabia and their reliability under local environment is being tested. This paper aims to evaluate the possible response of drivers VMS when used for messages related traffic conditions. A major arterial Al-Khobar city with a massive board was selected this paper. The evaluation process started by interviewing randomly from study area. About 77% interviewed indicated positive attitude toward requesting change route. drivers’...

Almost all researches about dynamic lane assignment were conducted to evaluate the effectiveness of applying this technique at signalized intersections. However, little attention was given method identifying quickly optimum group. This research suggests a quick find group for 3-lane and 4-lane approaches junctions where each approach has green by itself in turn using percentage turning movements. MATLAB environment used build an optimization model optimal groups intersection hypothetical...

This study investigated the challenges of calibration PARAMICS microscopic simulation model for local traffic conditions in Kingdom Saudi Arabia. It proposed an adaptive neuro-fuzzy inference system (ANFIS) based protocol model. The developed ANFIS performs adequately modeling queue length as a function two key parameters, namely mean headway time and reaction time. selected values parameters obtained through approach were used input error indices such absolute errors percentage predicting...

School trips comprise a major portion of daily vehicular demand on urban road networks. Dependence cars for school can induce congestion routine basis. In this study, use sustainable transport strategy in the form public has been analyzed using mode choice models. The objective study was to develop models boys' schools Al-Khobar and Dhahran metropolitan cities Saudi Arabia. These do not have any service. Mode modeling done logit present modes as well future with hypothetical bus From models,...

Traffic forecasts are used for a wide variety of purposes from the planning to design and operational stages highway network. The forecasting models need historical traffic data some supporting variables that relevant demand. Apart that, choice an appropriate model or technique is also important consideration. This paper gives overview process this purpose with emphasis on use different types Artificial Neural Networks (ANNs). In research, two (ANNs) being compared traditional parametric...

Abstract TRANSYT-7F and Synchro are two of the most extensively used signal timing optimization softwares in Saudi Arabia. Each them has its inbuilt objective function to optimize plan for intersections, which is different from each other. In this paper, performance optimal plans developed by compared using microsimulation software PARAMICS. An urban arterial with three intersections moderately high traffic Dhahran, Arabia studied. Comparison optimized done on basis queue length average...

Most tire failures in Saudi Arabia result severe vehicle crashes. Tire failures, such as tread separation and blowouts, are the most notable events that occur on a daily basis. This paper deals with elongation tensile strength of rubber quality control criteria evaluating tires. Specimens from six different brands were subjected to laboratory tests investigate rubber. The results statistical field survey data compared determine possibility using criterion. thermal oxidative durability...