# A Path Recommendation Method Considering Individual Driving Preferences
## 5 Case Studies  
### Research Data  
The research area selected for this study was obtained from the road network within Xuancheng City, China, which is characterized by a relatively simple road network structure and comprehensive urban road traffic detection equipment. This enabled the collection of extensive urban traffic information, making it easier to access individual driver information and path data for analysis. The research area encompassed 143 road sections, 91 intersection junctions, and 65 effective electronic bayonets. To specify the starting and ending points for the study, Figure 6 shows the origin O, located on the northwest side of the road network, and the destination D, located on the southeast side of the road network. This OD pair was situated on opposite sides of the central city of Xuancheng and potential paths passed through the central city area, thus covering a relatively complex road traffic environment. This complexity allowed for observation of travel behaviors among various commuters and was considered representative of the overall transportation patterns. Hence, this OD pair was selected as the target for this study. During the specified time period from 12 August 2019 (Monday) to 18 August 2019 (Sunday), a total of 4473 vehicle travel tracks were extracted for the target OD pair in  
Figure 6: Target OD pair. Xuancheng City. It is important to note that the ALPR data only provide information about the intersections passed by the vehicles during their travel, while not directly capturing longer stops or pauses during the journey. Additionally, there may be errors in license plate identification and inaccurate detection timestamps, which can lead to abnormal travel time data. To ensure the reliability of the travel trajectories, we utilized the average path travel time to exclude obviously incorrect data. Specifically, travel trajectories with an average path speed of less than 5 km/h (common walking speed) or greater than 120 km/h (common maximum speed limit) were considered unreliable. After applying these filters, a total of 4428 valid travel trajectories remained. Among these valid travel trajectories between the target OD pair, a subset of 644 distinct paths was identified. The distribution of travel trajectories was uneven, with a majority of trajectories concentrated on a smaller proportion of paths. Table 4 presents the seven paths with the highest number of travel trajectories. Among the paths, 33 paths had more than 20 travel trajectories, indicating a relatively higher frequency of usage. The paths in Table 4 are described in the form of node sequences, where the corresponding nodes in the road network are shown in Figure 7; notably, the node number of the origin O is 5122 and the destination D is 4724. \begin{table}
\begin{tabular}{c c} \hline
**Path (Sequence of Nodes)** & **Number of Travel Tracks** \\ \hline
5122\_5123\_5126\_9162\_9163\_9177\_9164\_4973\_4904\_4863\_4724 & 766 \\
5122\_5123\_5126\_5132\_5061\_4961\_4973\_4904\_4863\_4724 & 320 \\
5122\_5123\_5082\_5021\_9163\_9177\_9164\_4973\_4904\_4863\_4724 & 295 \\
5122\_5123\_5082\_9162\_9163\_9177\_9164\_4973\_4904\_4863\_4724 & 292 \\
5122\_5123\_5126\_5132\_5061\_4961\_4854\_4863\_4724 & 194 \\
5122\_5012\_5021\_9163\_9177\_9164\_4973\_4904\_4863\_4724 & 151 \\
5122\_5123\_5082\_5021\_4950\_4907\_4893\_4808\_4694\_4697\_4706\_4724 & 147 \\ \hline \end{tabular}
\end{table} 
Table 4: Main travel paths. Figure 7: Nodes and node IDs for OD pairs. Path 1 was the longest, measuring 4811.49 m. It was a straightforward path with fewer intersections and a low turning index. Being a city trunk road, it had multiple lanes and presented relatively high traffic density. Path 2 had the shortest length, only 4084.65 m. However, it traversed narrow sections with fewer lanes and encountered more intersections. Consequently, it had a higher number of path intersections and a higher path turning index, resulting in increased path density. Path 3 had a slightly shorter length than Path 1.