Abstract
Pedestrian level of service (PLOS) is an important measure of performance in the analysis of existing pedestrian crosswalk conditions. Many researchers have developed PLOS models based on pedestrian delay, turning vehicle effect, etc., using the conventional regression method. However, these factors may not effectively reflect the pedestrians’ perception of safety while crossing the crosswalk. The conventional regression method has failed to estimate accurate PLOS because of the primary assumption of an arbitrary probability distribution and vagueness in the input data. Moreover, PLOS categories in existing studies are based on rigid threshold values and the boundaries that are not well defined. Therefore, it is an important attempt to develop a PLOS model with respect to pedestrian safety, convenience, and efficiency at signalized intersections. For this purpose, a video-graphic and user perception surveys were conducted at selected nine signalized intersections in Mumbai, India. The data such as pedestrian, traffic, and geometric characteristics were extracted, and significant variables were identified using Pearson correlation analysis. A consistent and statistically calibrated PLOS model was developed using fuzzy linear regression analysis. PLOS was categorized into six levels (A–F) based on the predicted user perception score, and threshold values for each level were estimated using the fuzzy c-means clustering technique. The developed PLOS model and threshold values were validated with the field-observed data. Statistical performance tests were conducted and the results provided more accurate and reliable solutions. In conclusion, this study provides a feasible alternative to measure pedestrian perception-based level of service at signalized intersections. The developed PLOS model and threshold values would be useful for planning and designing pedestrian facilities and also in evaluating and improving the existing conditions of pedestrian facilities at signalized intersections.
Highlights
A sustainable transportation system should provide mobility and flexibility in a safe and environment-friendly mode
In order to verify the correctness of the obtained threshold values, the threshold values with respect to the predicted Pedestrian level of service (PLOS) score from fuzzy c-means (FCM) and the threshold ranges with respect to the observed PLOS score from the box plot were compared
In India, most signalized intersections are operated by sharing the pedestrian signal phase, which allows pedestrian crossing and parallel through and turning vehicle movement simultaneously
Summary
A sustainable transportation system should provide mobility and flexibility in a safe and environment-friendly mode. Pedestrian perception-based level of service model at signalized intersection crosswalks. India is characterized by mixed traffic condition, which is defined as the condition where pedestrians and vehicles share the same space without proper lane discipline. Since this condition could lead to conflicts and accidents between road users, it is necessary to provide suitable facilities to improve the serviceability and safety of pedestrians. Transport planners and designers need to examine performance measures that could make pedestrians safe, convenient, and comfortable while crossing signalized intersections. User perception-based classification of pedestrian level of service (PLOS) is important for traffic engineers to distinguish the operational performance of pedestrian facilities. Based on PLOS classification, pedestrian facilities can be improved and better planned for future usage
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