{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T15:56:06Z","timestamp":1784390166975,"version":"3.55.0"},"reference-count":0,"publisher":"Slovenian Association Informatika","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJCAI"],"abstract":"<jats:p>Urban traffic congestion at signalized intersections can be mitigated by enhanced signal control strategies.This paper presents a microsimulation-based comparative analysis of two strategies applied to a heavilycongested corridor in Tirana, Albania. Scenario 1 implements conventional fixed-time traffic signals, andScenario 2 deploys fully vehicle-actuated signals. Four intersections along Tirana\u2019s main ring road weremodeled in PTV Vissim under morning peak-hour conditions. The simulation uses a 50-run Monte Carloapproach, and the model was calibrated to field-measured volumes and queues for realism. A customVehicle Actuated Programming (VAP) logic with inductive-loop detectors was developed to emulate realcontroller behavior. Key performance metrics (queue lengths, vehicle delay, and network throughput) wereevaluated for each scenario. The results show that vehicle-actuated control yields significant reductions inqueue lengths and delays compared to the fixed-time plan. For example, at the most congested approach,fixed-time control caused over 2200 s\/vehicle average delay (37 min), whereas actuated control reducedthis by about 39% to 1346 s\/vehicle. Similarly, queue lengths on major approaches dropped by up to 70%during the first peak hour under actuated control. Network-wide, the actuated strategy improved averagetravel speed by 33% and reduced total travel time by 25% relative to fixed timings. These findings underscorethe effectiveness of vehicle-actuated signals in dynamically allocating green time based on real-timedemand, thereby improving intersection throughput and reducing congestion. The paper further examinesimplementation considerations such as detector placement and maintenance. The adaptive Scenario 2 isfound to be highly beneficial for urban traffic management in a growing city like Tirana.<\/jats:p>","DOI":"10.31449\/inf.v50i5.10459","type":"journal-article","created":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T10:25:39Z","timestamp":1770027939000},"source":"Crossref","is-referenced-by-count":2,"title":["Microsimulation-Based Evaluation of Fixed-Time and Vehicle-Actuated Traffic Signal Control Strategies Using PTV Vissim in an Urban Corridor"],"prefix":"10.31449","volume":"50","author":[{"given":"Veranda","family":"Syla","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Algenti","family":"Lala","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"16141","published-online":{"date-parts":[[2026,2,2]]},"container-title":["Informatica"],"original-title":[],"link":[{"URL":"https:\/\/www.informatica.si\/index.php\/informatica\/article\/download\/10459\/6433","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.informatica.si\/index.php\/informatica\/article\/download\/10459\/6433","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T10:25:39Z","timestamp":1770027939000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.informatica.si\/index.php\/informatica\/article\/view\/10459"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,2]]},"references-count":0,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2026,2,2]]}},"URL":"https:\/\/doi.org\/10.31449\/inf.v50i5.10459","relation":{},"ISSN":["1854-3871","0350-5596"],"issn-type":[{"value":"1854-3871","type":"electronic"},{"value":"0350-5596","type":"print"}],"subject":[],"published":{"date-parts":[[2026,2,2]]}}}