In developing countries, motorcycle riders typically perform lane filtering at signalized urban intersections. This study aims to determine the factors that affect the lateral clearance of motorcycle riders as they travel between two lanes of mixed traffic at signalized urban intersections in developing countries. In this study, an onboard measurement device was developed to measure the lane-filtering behavior of motorcycle riders. It was installed on a test motorcycle to continuously record the lateral clearance, riding behavior, and surrounding traffic conditions. Thirty participants rode the test motorcycle through a signalized urban intersection. Multilevel linear regression was applied to analyze the relationship between lateral clearance and relevant variables at a significance level of 0.05. The instant speed and side of the filtering motorcycle, condition of the lateral vehicle, type of lateral vehicle, and riding frequency of the motorcycle rider significantly influenced the lateral clearance. The findings of this study can contribute to filtering lane management, connected autonomous vehicles, and microscopic traffic simulations for motorcycles traveling in mixed traffic at signalized urban intersections.

The purpose of this study is to propose and evaluate the vehicle actuated signal control for coordinated intersections to reduce CO2 emission from the transportation sector for the low carbon society. The study area is a group of 3 signalized intersections locating along the National Highway No. 2 in Phol district, Khon Kean province, Thailand. This study proposed and evaluated the several signal control strategies to increase the effectiveness of these intersections. The proposed strategies consist of i) fixed time control, ii) coordinated control, iii) semi actuated control, and iv) fully actuated control. This study applied the traffic microsimulation to evaluate the proposed strategies. The developed traffic microsimulation model was calibrated by using the traffic data surveyed during the morning peak. The study found that the fully vehicle actuated signal control was the best strategy to improve the level of service of intersections and to reduce CO2 emission. Average delay, average stop time delay, average maximum queue length and CO2 emissions of total systems decreased by, 44.7%, 55.2%, 33.0% and 8.7%, when compared with existing fixed time control. Therefore, the fully vehicle actuate signal control could be promoted for the low carbon society.

In developing countries, motorcycle riders normally attempt to stop at their desired locations during queue formation on signalized intersection approaches. Under mixed-traffic conditions, motorcycle positioning in a queue affects the operational and safety performance of the intersection. This study aimed to identify factors influencing motorcycle riders’ stopping locations at signalized urban intersections. This study applied Unmanned Aerial Vehicles (UAVs) to observe the stopping behavior of 1413 motorcycle riders on 24 approaches from 10 signalized intersections in Thailand (N = 1413). Multinomial logistic regression analysis was used to determine the relationship between the stopping locations of motorcycle riders and rider- and motorcycle-related variables and traffic- and environmental-related variables. The statistical analyses presented a Cox and Snell R2 and Nagelkerke R2 of 0.466 and 0.499, respectively, indicating that the model accounted for almost 50% of the variation among the five stopping locations of motorcycle riders. The results showed that, under mixed-traffic conditions in Thailand with left-hand traffic, motorcycle riders intending to turn right, the morning peak period, the presence of shadows, motorcycle riders not wearing helmets, the presence of a larger vehicle in the queue, and the density of desired stopping locations significantly influenced the motorcyclists’ choice of stopping locations on signalized intersection approaches. Practical policy-related recommendations drawn from the findings are provided to improve motorcyclists’ safety on signalized intersection approaches.

The objective of this research was to evaluate the efficiency of the motorcycle-specific pausing zone under the Bike Box Project (BBP). This zone is designated at the very front of the waiting line for the traffic light. The indicators used to measure the efficiency comprised the lost time when starting up at the beginning of the green light, the change of the proportion of the motorcycle pausing points, the accident statistics, and the worthiness for investment. Two intersections in urban areas were used for the analyses and evaluation, which were carried out to compare between the period prior to and after the project began. The study indicated that after the project began, the start-up lost time could be reduced by roughly 31-46% during peak hours, with approximately 73-78% of motorcycles pausing in the green zone (Bike Box Zone). The number and severity of the traffic accidents after 1-year of BBP implementation significantly decreased. The results of the study showed the efficiency of traffic management, safety, and worthiness for investment. It is thus appropriate to extend the project to other areas in the country and abroad, especially in urban areas where motorcycles are greatly used.