Traffic channelisation and pavement deterioration: an investigation of the role of lateral wander on asphalt pavement rutting

Figures & data

Figure 1. Illustration of rutting mechanism under channelised traffic (Dawson & Kolisoja, 2006)

Figure 2. Location of the study area - Clearance Parade and South Parade (Ordanance Survey, 2019)

Figure 3. Superimposition method used in the analysis of recorded traffic flow

Figure 4. 100 nearside rut depths used in the analyses.

Table 1. Descriptive statistics of variables in the analysis

Characteristics of variables	Minimum	Maximum	Mean	Std. Deviation
Lateral wander of vehicle positions [m]	0.1296	0.8577	0.4508	0.1367
Pavement camber [m]	−1.3000	6.4000	3.0827	1.5819
Nearside rut depth [mm]	0	5.4000	1.8102	1.2970

Figure 5. Scatter plot of the nearside wheel path rutting with the degree of channelisation

Figure 6. Boxplot of the nearside rut depth with lane

Table 2. Results of multivariate regression analysis

Model	Multivariate analysis			p-value
	Coefficient (β)	95% CI
		Lower	Upper
Constant	2.253	1.405	3.101	1.90 × 10^−7
Degree of channelisation [m]	−1.881	−3.432	−0.330	1.74 × 10^−3
Pavement camber [%]	0.396	0.230	0.563	3.00 × 10^−6
Direction of lane	1.633	1.110	2.157	9.90 × 10^−10

Figure 7. Nearside wheel path rutting deterioration model graphical representation

Figure 8. Illustrated map of the degree of channelisation for narrowest and widest road sections with rut depths Dawson and Kolisoja (2006, Ordanance Survey (Cartographer) (2019).

Dawson, A., and Kolisoja, P., 2006. Managing rutting in low volume roads. The European Union European Regional, Development Fund, Rovaniemi, Finland, Scientific Report, ROADEX II Final Report Part, 2.

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Ordanance Survey (Cartographer), 2019. Backdrop mapping: Scale colour raster [TIFF geospatial data]. Available from: http://digimap.edina.ac.uk/

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