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ABSTRACTThis paper comprehensively reviews driving behaviour in the context of heterogeneous traffic and poor lane discipline condition. Organising such driving behaviour models into two main groups (lateral movement model and longitudinal movement model), the systematic review primarily focusses on chronological development of the studies, intricate components of modelling framework (input and output variables, their selection procedure, methodology, calibration and validation) and strength and limitations of each model. In addition, the models are also scrutinised to determine to what extent they are applicable to capture the complex interaction of various vehicle types in poor or no lane discipline condition. Finally, the state-of-the-art is compared with the universal modelling requirement to pinpoint the research gap, provide appropriate direction to bridge the gap and develop a comprehensive model of driving behaviour in heterogeneous and non-lane-based traffic condition.

Vibrational sum frequency generation (SFG) spectroscopy was utilized to distinguish different populations of water molecules within the electric double layer (EDL) at the silica/water interface. By systematically varying the electrolyte concentration, surface deprotonation, and SFG polarization combinations, we provide evidence of two regions of water molecules that have distinct pH-dependent behavior when the Stern layer is present (with onset between 10 and 100 mM NaCl). For example, water molecules near the surface in the Stern layer can be probed by the pss polarization combination, while other polarization combinations (ssp and ppp) predominantly probe water molecules further from the surface in the diffuse part of the electrical double layer. For the water molecules adjacent to the surface within the Stern layer, upon increasing the pH from the point-of-zero charge of silica (pH ∼2) to higher values (pH ∼12), we observe an increase in alignment consistent with a more negative surface with increasing pH. In contrast, water molecules further from the surface appear to exhibit a net flip in orientation upon increasing the pH over the same range, which we attribute to the presence of the Stern layer and possible overcharging of the EDL at lower pH. The opposing pH-dependent behavior of water in these two regions sheds new light on our understanding of the water structure within the EDL at high salt concentrations when the Stern layer is present.

Using second harmonic generation and sum frequency generation spectroscopy, we monitor the influence of sodium and potassium halides on acid–base processes at the negatively charged silica/aqueous electrolyte interface. We find that the two types of acidic silanols at the surface are very sensitive to the presence of halides in the aqueous phase. As the halide size increases, the pH at which half the more acidic sites are deprotonated (pH0.5) shifts to lower pH. Conversely, the pH0.5of the less acidic sites shifts to higher pH with increasing halide size. We also observe titration curves of increasing sharpness as the halide size increases, indicative of positive cooperativity. Using a simple cooperative model, we find that the cooperative unit for the dissociation of more acidic surface sites is ∼1, 2, and 3 for the chloride, bromide, and iodide electrolytes, respectively, which reveals that the larger anions promote deprotonation among the more acidic silanol groups. We also find that the fraction of more acidic sites, proportional to the relative surface charge density at neutral pH, increases from 20% to 86% as the sodium halide is varied from chloride to iodide. As the percentage of more acidic sites and the surface charge at neutral pH increases, the effective acidity of the less acidic sites decreases, indicating that greater surface charge density renders the remaining silanol groups more difficult to deprotonate. As the relative amount of less acidic sites increases, their deprotonation events exhibit negative, rather than positive, cooperativity revealing charge repulsion between neighboring silanol groups.