| Pub. Date | : Jan, 2024 |
|---|---|
| Product Name | : The IUP Journal of Electrical and Electronics Engineering |
| Product Type | : Article |
| Product Code | : IJEEE020124 |
| Author Name | : Alireza Ansariyar* |
| Availability | : YES |
| Subject/Domain | : Engineering |
| Download Format | : PDF Format |
| No. of Pages | : 15 |
Efficient traffic management at signalized intersections is integral to urban infrastructure development, requiring accurate estimation of delay times to mitigate congestion and enhance overall transportation systems. The limitations of traditional methodologies have prompted the exploration of novel technologies like light detection and ranging (LiDAR) sensors. This paper investigates and compares the accuracy of delay time estimations obtained from LiDAR sensor technology with those derived from microsimulation in Aimsun. The paper critically examines the discrepancies and potential complementarity between delay times obtained from LiDAR sensor technology and those derived from microsimulation in Aimsun. The research involves an in-depth evaluation of real-time, high-resolution data collected by LiDAR sensors, assessing their accuracy in capturing the intricate movements and behavior of vehicles at signalized intersections. Simultaneously, Aimsun microsimulation delay time models are scrutinized for their ability to accurately replicate these observed delay times. The disparities identified serve as critical insights into the challenges of both methodologies, prompting the discussion on the prospects of integrating LiDAR-derived data and microsimulation calibration processes to enhance the precision and reliability of delay time estimations. The results demonstrate that LiDAR accurately calculates delay times at signalized intersections, with differences from Aimsun consistently below 6.5% on days with peak vehicle volumes.
Transportation systems are fundamental components of modern urban infrastructure, and the efficiency of these systems greatly influences the quality of life in cities (Mondal and Gupta, 2020; Ansariyar, 2023a and 2023b). Signalized intersections, being crucial nodes in road networks, play a pivotal role in traffic flow management. Accurate estimation of delay times at these intersections is imperative for effective traffic engineering, infrastructure development and congestion alleviation (Ansariyar, 2023a; 2023b; 2023c; 2023d; and 2023e). Traditionally, delay times have been estimated using empirical observations or through microsimulation software, with each method carrying its own set of advantages and limitations (Gu et al., 2017; and Wu et al., 2020).
Light detection and ranging (LiDAR) sensor technology, Signalized intersections, Delay time, Microsimulation, Aimsun software, LiDAR-derived data