..., understanding the importance of MTWs in developing countries, the present study focuses on modelling the service quality evaluation of MTWs using artificial intelligence ( AI ) techniques, such as the artificial neural network ( ANN ), at signalised intersections. A MTW level of service ( MLOS ) model...

.... Based on historical tram trajectory data, the tram's travel time distribution at each running section/station was obtained. The PM-Band passive signal priority model was used to construct an integer programming problem to solve the slack time of timetable and signal timing at intersections. Finally...

..., no effective tool predicts the number and location of potholes in a road network. In this work, an attempt to address this gap was conducted by developing novel pothole prediction tools built using two machine learning methods – random forest and K-nearest neighbour. The final prediction model...

... and take evasive action for various reasons, leading to dangerous driving behaviour. Therefore, this study has focused on analysing the driver behaviour responsible for evasive manoeuvres when vehicles enter a roundabout from the approach roads by employing a binary logit (BL) model and machine learning...

... techniques were used to formalise the flow of aviation-fuel vehicles in both space and time. Based on the problem characteristics and by adding appropriate constraints, the aim of this work was to minimise CDEs and construct an optimal model for the refuelling operation scheduling of aviation-fuel vehicles...

..., this paper describes a proposed battery-swap network (BSN) comprising battery-swapping van service points and battery-swap stations to provide local, fast and cost-effective battery-swapping services. A data-driven approach was developed to analyse and model vehicle trajectory data to obtain realistic...

... severity using multinomial logit (MNL), decision tree (DT) and random forest (RF) models on a dataset of 2747 crashes on three selected expressways. The dependent variable, crash severity, had four injury severity categories: fatal, severe, minor and property damage only (PDO). Various explanatory...

..., trip generation modelling is performed first to understand what factors trigger trip making and how they affect rail passenger flow (RPF) in general; the aim is to measure the loss in RPF due to the Covid-19 pandemic using these trip generation models. Daily RPF data from station to station in Türkiye...

...Muwaffaq Safiyanu Labbo, MTech; Xinguo Jiang, PhD; Gatesi Jean de Dieu, MTech Accurate traffic crash prediction is crucial for implementing effective road safety measures. In this study, the performance of long short-term memory (LSTM) and multivariate LSTM (MLSTM) models in forecasting total crash...

... as AADT, number of registered vehicles, causes of crashes and the type of vehicles involved. The model results can be used to provide useful information to road safety decision makers during the planning and design of road infrastructure. 10 08 2023 09 11 2023 Emerald Publishing Limited...

... algorithm (GA) with multiple machine learning (ML) methods. A GA can eliminate overfitting, which is a common problem in ML models. The numerical results showed that the performance of the K-nearest neighbours method was significantly enhanced when a GA was imposed on it. In terms of the stability...

.... Moreover, these solutions overlook the effects of the movement of evacuees on fire-smoke diffusion; hence, they do not adequately reflect fire–pedestrian interaction. This study addresses this problem by formulating a fire-smoke evolution model using the lattice Boltzmann method to simulate fire smoke from...

.... Then, by considering several variables and with the help of FIS, a weight is calculated for each location. Subsequently, the optimum corridors for BRT are identified with BIP. The objective function of the BIP model is to maximise the sum of the stations’ weights (involving the most suitable locations for BRT stations...

...T P WILLIAMS; J C MILES; C J MOORE © Thomas Telford and ICE 1999 CARDIFF UNIVERSITY HIGHWAYS AGENCY NEW JERSEY TRANSPORTATION DEPARTMENT HIGHWAYS ROADS PROJECTS BIDS COMPETITION COSTS ESCALATION PREDICTION ECONOMICS FINANCE CONSTRUCTION LOGARITHMS LINEAR MODELS...

...C WRIGHT; ROBERG ORENSTEIN; P; P R ORENSTEIN © Thomas Telford and ICE 1999 MIDDLESEX UNIVERSITY BELLCORE TRAFFIC JAMS CONGESTION CONTROL MODELS SIMPLE PROPAGATION MANAGEMENT MODELLING NETWORKS GRIDS IDEALISED IDEALISATION FORMATION GRIDLOCK DISPERSION GATING...

... and classifying new data. Keywords: roads & highways; pavement design; mathematical modelling Introduction Skid resistance is the retarding force generated by the interaction between a pavement and a tyre under locked non-rotating conditions. Skid resistance is a very dicult parameter to estimate. The tyre...

...J M BARLING; BAA © Thomas Telford and ICE 1997 BAA BRITISH AIRPORTS AUTHORITY PAVEMENTS CONCRETE AIRPORTS RIGID DESIGN DEVELOPMENT CONSTRUCTION WEIGHT AIRCRAFT LAYERS STRUCTURAL COMPUTERS MODELLING RESEARCH MATERIALS ECONOMICS PROPERTIES PERFORMANCE MIXES COSTS...

...H E M HUNT; WINKLER RAILWAYS TRACK SETTLEMENT BRIDGES ABUTMENTS TRAINS AXLES LOADS GEOMETRY FOUNDATIONS STIFFNESS MODELLING VEHICLES MODELS METHODS PROCEDURE CALCULATIONS DESIGN SLEEPERS PERMANENT WAY Settlement of railway track near bridge abutments H. E. M. Hunt Proc...

... discussion closes I 6January 1997 The design and analysis of rail track LR55 track model systems requires a knowledge ostfress 3. The track model used here to calculate and displacementsdue to the combined the deflection profileof the LR55 components action of the applied loads and environ- assumes...

...D HALDEN; TRL © Thomas Telford and ICE 1996 TRANSPORT RESEARCH LABORATORY TRL TRANSPORT POLICIES DEVELOPMENT MANAGING UNCERTAINTY MANAGEMENT OBJECTIVES DEMAND INFRASTRUCTURE MODELLING TECHNIQUES MODELS METHODS TRAVEL BEHAVIOUR PATTERNS STRATEGIC APPRAISAL...